Covid 19 Analysis R
Malay Raj
2023-08-28
COVID-19 IN INDIA :
Dataset on Novel Corona Virus Disease 2019 in India
Loading Required Packages.
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## layoutDisplaying my current working directory.
getwd()## [1] "C:/Covid 19 India Analysis"Collecting the datas.
covid = read.csv("C:/Covid 19 India Analysis/covid_19_india.csv")
vaccine = read.csv("C:/Covid 19 India Analysis/covid_vaccine_statewise.csv")
testing = read.csv("C:/Covid 19 India Analysis/StatewiseTestingDetails.csv")Displaying the first six rows of each dataset.
head(covid)## Sno Date Time State.UnionTerritory ConfirmedIndianNational
## 1 1 2020-01-30 6:00 PM Kerala 1
## 2 2 2020-01-31 6:00 PM Kerala 1
## 3 3 2020-02-01 6:00 PM Kerala 2
## 4 4 2020-02-02 6:00 PM Kerala 3
## 5 5 2020-02-03 6:00 PM Kerala 3
## 6 6 2020-02-04 6:00 PM Kerala 3
## ConfirmedForeignNational Cured Deaths Confirmed
## 1 0 0 0 1
## 2 0 0 0 1
## 3 0 0 0 2
## 4 0 0 0 3
## 5 0 0 0 3
## 6 0 0 0 3head(vaccine)## Updated.On State Total.Doses.Administered Sessions Sites
## 1 16/01/2021 India 48276 3455 2957
## 2 17/01/2021 India 58604 8532 4954
## 3 18/01/2021 India 99449 13611 6583
## 4 19/01/2021 India 195525 17855 7951
## 5 20/01/2021 India 251280 25472 10504
## 6 21/01/2021 India 365965 32226 12600
## First.Dose.Administered Second.Dose.Administered Male..Doses.Administered.
## 1 48276 0 NA
## 2 58604 0 NA
## 3 99449 0 NA
## 4 195525 0 NA
## 5 251280 0 NA
## 6 365965 0 NA
## Female..Doses.Administered. Transgender..Doses.Administered.
## 1 NA NA
## 2 NA NA
## 3 NA NA
## 4 NA NA
## 5 NA NA
## 6 NA NA
## Covaxin..Doses.Administered. CoviShield..Doses.Administered.
## 1 579 47697
## 2 635 57969
## 3 1299 98150
## 4 3017 192508
## 5 3946 247334
## 6 5367 360598
## Sputnik.V..Doses.Administered. AEFI X18.44.Years..Doses.Administered.
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## X45.60.Years..Doses.Administered. X60..Years..Doses.Administered.
## 1 NA NA
## 2 NA NA
## 3 NA NA
## 4 NA NA
## 5 NA NA
## 6 NA NA
## X18.44.Years.Individuals.Vaccinated. X45.60.Years.Individuals.Vaccinated.
## 1 NA NA
## 2 NA NA
## 3 NA NA
## 4 NA NA
## 5 NA NA
## 6 NA NA
## X60..Years.Individuals.Vaccinated. Male.Individuals.Vaccinated.
## 1 NA 23757
## 2 NA 27348
## 3 NA 41361
## 4 NA 81901
## 5 NA 98111
## 6 NA 132784
## Female.Individuals.Vaccinated. Transgender.Individuals.Vaccinated.
## 1 24517 2
## 2 31252 4
## 3 58083 5
## 4 113613 11
## 5 153145 24
## 6 233143 38
## Total.Individuals.Vaccinated
## 1 48276
## 2 58604
## 3 99449
## 4 195525
## 5 251280
## 6 365965head(testing)## Date State TotalSamples Negative Positive
## 1 2020-04-17 Andaman and Nicobar Islands 1403 1210 12
## 2 2020-04-24 Andaman and Nicobar Islands 2679 NA 27
## 3 2020-04-27 Andaman and Nicobar Islands 2848 NA 33
## 4 2020-05-01 Andaman and Nicobar Islands 3754 NA 33
## 5 2020-05-16 Andaman and Nicobar Islands 6677 NA 33
## 6 2020-05-19 Andaman and Nicobar Islands 6965 NA 33Checking the dimension of the datasets.
dim(covid)## [1] 18110 9dim(vaccine)## [1] 7845 24dim(testing)## [1] 16336 5Displaying the column names of our dataframes.
colnames(covid)## [1] "Sno" "Date"
## [3] "Time" "State.UnionTerritory"
## [5] "ConfirmedIndianNational" "ConfirmedForeignNational"
## [7] "Cured" "Deaths"
## [9] "Confirmed"colnames(vaccine)## [1] "Updated.On"
## [2] "State"
## [3] "Total.Doses.Administered"
## [4] "Sessions"
## [5] "Sites"
## [6] "First.Dose.Administered"
## [7] "Second.Dose.Administered"
## [8] "Male..Doses.Administered."
## [9] "Female..Doses.Administered."
## [10] "Transgender..Doses.Administered."
## [11] "Covaxin..Doses.Administered."
## [12] "CoviShield..Doses.Administered."
## [13] "Sputnik.V..Doses.Administered."
## [14] "AEFI"
## [15] "X18.44.Years..Doses.Administered."
## [16] "X45.60.Years..Doses.Administered."
## [17] "X60..Years..Doses.Administered."
## [18] "X18.44.Years.Individuals.Vaccinated."
## [19] "X45.60.Years.Individuals.Vaccinated."
## [20] "X60..Years.Individuals.Vaccinated."
## [21] "Male.Individuals.Vaccinated."
## [22] "Female.Individuals.Vaccinated."
## [23] "Transgender.Individuals.Vaccinated."
## [24] "Total.Individuals.Vaccinated"colnames(testing)## [1] "Date" "State" "TotalSamples" "Negative" "Positive"Inspecting the dataframes and look for inconguencies.
str(covid)## 'data.frame': 18110 obs. of 9 variables:
## $ Sno : int 1 2 3 4 5 6 7 8 9 10 ...
## $ Date : chr "2020-01-30" "2020-01-31" "2020-02-01" "2020-02-02" ...
## $ Time : chr "6:00 PM" "6:00 PM" "6:00 PM" "6:00 PM" ...
## $ State.UnionTerritory : chr "Kerala" "Kerala" "Kerala" "Kerala" ...
## $ ConfirmedIndianNational : chr "1" "1" "2" "3" ...
## $ ConfirmedForeignNational: chr "0" "0" "0" "0" ...
## $ Cured : int 0 0 0 0 0 0 0 0 0 0 ...
## $ Deaths : int 0 0 0 0 0 0 0 0 0 0 ...
## $ Confirmed : int 1 1 2 3 3 3 3 3 3 3 ...str(vaccine)## 'data.frame': 7845 obs. of 24 variables:
## $ Updated.On : chr "16/01/2021" "17/01/2021" "18/01/2021" "19/01/2021" ...
## $ State : chr "India" "India" "India" "India" ...
## $ Total.Doses.Administered : num 48276 58604 99449 195525 251280 ...
## $ Sessions : num 3455 8532 13611 17855 25472 ...
## $ Sites : num 2957 4954 6583 7951 10504 ...
## $ First.Dose.Administered : num 48276 58604 99449 195525 251280 ...
## $ Second.Dose.Administered : num 0 0 0 0 0 0 0 0 0 0 ...
## $ Male..Doses.Administered. : num NA NA NA NA NA NA NA NA NA NA ...
## $ Female..Doses.Administered. : num NA NA NA NA NA NA NA NA NA NA ...
## $ Transgender..Doses.Administered. : num NA NA NA NA NA NA NA NA NA NA ...
## $ Covaxin..Doses.Administered. : num 579 635 1299 3017 3946 ...
## $ CoviShield..Doses.Administered. : num 47697 57969 98150 192508 247334 ...
## $ Sputnik.V..Doses.Administered. : num NA NA NA NA NA NA NA NA NA NA ...
## $ AEFI : num NA NA NA NA NA NA NA NA NA NA ...
## $ X18.44.Years..Doses.Administered. : num NA NA NA NA NA NA NA NA NA NA ...
## $ X45.60.Years..Doses.Administered. : num NA NA NA NA NA NA NA NA NA NA ...
## $ X60..Years..Doses.Administered. : num NA NA NA NA NA NA NA NA NA NA ...
## $ X18.44.Years.Individuals.Vaccinated.: num NA NA NA NA NA NA NA NA NA NA ...
## $ X45.60.Years.Individuals.Vaccinated.: num NA NA NA NA NA NA NA NA NA NA ...
## $ X60..Years.Individuals.Vaccinated. : num NA NA NA NA NA NA NA NA NA NA ...
## $ Male.Individuals.Vaccinated. : num 23757 27348 41361 81901 98111 ...
## $ Female.Individuals.Vaccinated. : num 24517 31252 58083 113613 153145 ...
## $ Transgender.Individuals.Vaccinated. : num 2 4 5 11 24 38 80 103 128 201 ...
## $ Total.Individuals.Vaccinated : num 48276 58604 99449 195525 251280 ...str(testing)## 'data.frame': 16336 obs. of 5 variables:
## $ Date : chr "2020-04-17" "2020-04-24" "2020-04-27" "2020-05-01" ...
## $ State : chr "Andaman and Nicobar Islands" "Andaman and Nicobar Islands" "Andaman and Nicobar Islands" "Andaman and Nicobar Islands" ...
## $ TotalSamples: num 1403 2679 2848 3754 6677 ...
## $ Negative : int 1210 NA NA NA NA NA NA NA NA NA ...
## $ Positive : num 12 27 33 33 33 33 33 33 33 33 ...Changing the datatypes.
covid$Date = as.Date(covid$Date)
covid$ConfirmedIndianNational = as.integer(covid$ConfirmedIndianNational)## Warning: NAs introduced by coercioncovid$ConfirmedForeignNational = as.integer(covid$ConfirmedForeignNational)## Warning: NAs introduced by coercionvaccine$Updated.On <- as.Date(vaccine$Updated.On, format = "%d/%m/%Y")
vaccine$Updated.On <- format(vaccine$Updated.On, "%Y-%m-%d")
vaccine$Updated.On = as.Date(vaccine$Updated.On)
testing$Date = as.Date(testing$Date)Checking if it’s changed or not.
str(covid)## 'data.frame': 18110 obs. of 9 variables:
## $ Sno : int 1 2 3 4 5 6 7 8 9 10 ...
## $ Date : Date, format: "2020-01-30" "2020-01-31" ...
## $ Time : chr "6:00 PM" "6:00 PM" "6:00 PM" "6:00 PM" ...
## $ State.UnionTerritory : chr "Kerala" "Kerala" "Kerala" "Kerala" ...
## $ ConfirmedIndianNational : int 1 1 2 3 3 3 3 3 3 3 ...
## $ ConfirmedForeignNational: int 0 0 0 0 0 0 0 0 0 0 ...
## $ Cured : int 0 0 0 0 0 0 0 0 0 0 ...
## $ Deaths : int 0 0 0 0 0 0 0 0 0 0 ...
## $ Confirmed : int 1 1 2 3 3 3 3 3 3 3 ...str(vaccine)## 'data.frame': 7845 obs. of 24 variables:
## $ Updated.On : Date, format: "2021-01-16" "2021-01-17" ...
## $ State : chr "India" "India" "India" "India" ...
## $ Total.Doses.Administered : num 48276 58604 99449 195525 251280 ...
## $ Sessions : num 3455 8532 13611 17855 25472 ...
## $ Sites : num 2957 4954 6583 7951 10504 ...
## $ First.Dose.Administered : num 48276 58604 99449 195525 251280 ...
## $ Second.Dose.Administered : num 0 0 0 0 0 0 0 0 0 0 ...
## $ Male..Doses.Administered. : num NA NA NA NA NA NA NA NA NA NA ...
## $ Female..Doses.Administered. : num NA NA NA NA NA NA NA NA NA NA ...
## $ Transgender..Doses.Administered. : num NA NA NA NA NA NA NA NA NA NA ...
## $ Covaxin..Doses.Administered. : num 579 635 1299 3017 3946 ...
## $ CoviShield..Doses.Administered. : num 47697 57969 98150 192508 247334 ...
## $ Sputnik.V..Doses.Administered. : num NA NA NA NA NA NA NA NA NA NA ...
## $ AEFI : num NA NA NA NA NA NA NA NA NA NA ...
## $ X18.44.Years..Doses.Administered. : num NA NA NA NA NA NA NA NA NA NA ...
## $ X45.60.Years..Doses.Administered. : num NA NA NA NA NA NA NA NA NA NA ...
## $ X60..Years..Doses.Administered. : num NA NA NA NA NA NA NA NA NA NA ...
## $ X18.44.Years.Individuals.Vaccinated.: num NA NA NA NA NA NA NA NA NA NA ...
## $ X45.60.Years.Individuals.Vaccinated.: num NA NA NA NA NA NA NA NA NA NA ...
## $ X60..Years.Individuals.Vaccinated. : num NA NA NA NA NA NA NA NA NA NA ...
## $ Male.Individuals.Vaccinated. : num 23757 27348 41361 81901 98111 ...
## $ Female.Individuals.Vaccinated. : num 24517 31252 58083 113613 153145 ...
## $ Transgender.Individuals.Vaccinated. : num 2 4 5 11 24 38 80 103 128 201 ...
## $ Total.Individuals.Vaccinated : num 48276 58604 99449 195525 251280 ...str(testing)## 'data.frame': 16336 obs. of 5 variables:
## $ Date : Date, format: "2020-04-17" "2020-04-24" ...
## $ State : chr "Andaman and Nicobar Islands" "Andaman and Nicobar Islands" "Andaman and Nicobar Islands" "Andaman and Nicobar Islands" ...
## $ TotalSamples: num 1403 2679 2848 3754 6677 ...
## $ Negative : int 1210 NA NA NA NA NA NA NA NA NA ...
## $ Positive : num 12 27 33 33 33 33 33 33 33 33 ...Checking for null values in our datasets.
null_sum <- colSums(is.na(covid))
null_sum## Sno Date Time
## 0 0 0
## State.UnionTerritory ConfirmedIndianNational ConfirmedForeignNational
## 0 17664 17664
## Cured Deaths Confirmed
## 0 0 0null_sum <- colSums(is.na(vaccine))
null_sum## Updated.On State
## 0 0
## Total.Doses.Administered Sessions
## 224 224
## Sites First.Dose.Administered
## 224 224
## Second.Dose.Administered Male..Doses.Administered.
## 224 384
## Female..Doses.Administered. Transgender..Doses.Administered.
## 384 384
## Covaxin..Doses.Administered. CoviShield..Doses.Administered.
## 224 224
## Sputnik.V..Doses.Administered. AEFI
## 4850 2407
## X18.44.Years..Doses.Administered. X45.60.Years..Doses.Administered.
## 6143 6143
## X60..Years..Doses.Administered. X18.44.Years.Individuals.Vaccinated.
## 6143 4112
## X45.60.Years.Individuals.Vaccinated. X60..Years.Individuals.Vaccinated.
## 4111 4111
## Male.Individuals.Vaccinated. Female.Individuals.Vaccinated.
## 7685 7685
## Transgender.Individuals.Vaccinated. Total.Individuals.Vaccinated
## 7685 1926null_sum <- colSums(is.na(testing))
null_sum## Date State TotalSamples Negative Positive
## 0 0 0 9368 10674Removing certain columns from each of the datasets because we don’t need them in our analysis.
covid = subset(covid, select = -c(Sno))vaccine = subset(vaccine, select = -c(X18.44.Years..Doses.Administered., X45.60.Years..Doses.Administered.,
X60..Years..Doses.Administered., X18.44.Years.Individuals.Vaccinated.,
X45.60.Years.Individuals.Vaccinated., X60..Years.Individuals.Vaccinated.))Checking the column names which are left for analysis.
colnames(covid)## [1] "Date" "Time"
## [3] "State.UnionTerritory" "ConfirmedIndianNational"
## [5] "ConfirmedForeignNational" "Cured"
## [7] "Deaths" "Confirmed"colnames(vaccine)## [1] "Updated.On" "State"
## [3] "Total.Doses.Administered" "Sessions"
## [5] "Sites" "First.Dose.Administered"
## [7] "Second.Dose.Administered" "Male..Doses.Administered."
## [9] "Female..Doses.Administered." "Transgender..Doses.Administered."
## [11] "Covaxin..Doses.Administered." "CoviShield..Doses.Administered."
## [13] "Sputnik.V..Doses.Administered." "AEFI"
## [15] "Male.Individuals.Vaccinated." "Female.Individuals.Vaccinated."
## [17] "Transgender.Individuals.Vaccinated." "Total.Individuals.Vaccinated"Renaming few columns from covid and vaccine datasets.
covid = plyr::rename(covid, replace = c("State.UnionTerritory" = "State_UT"))vaccine = plyr::rename(vaccine, replace=c( "Updated.On" = "updated_on",
"Total.Doses.Administered" = "total_doses_administered",
"First.Dose.Administered" = "first_dose_administered",
"Second.Dose.Administered" = "second_dose_administered",
"Male..Doses.Administered." = "male_doses_administered",
"Female..Doses.Administered." = "female_doses_administered",
"Transgender..Doses.Administered." = "transgender_doses_administered",
"Covaxin..Doses.Administered." = "covaxin_doses",
"CoviShield..Doses.Administered." = "covishield_doses",
"Sputnik.V..Doses.Administered." = "sputnik_V_doses",
"Male.Individuals.Vaccinated." = "males_vaccinated",
"Female.Individuals.Vaccinated." = "females_vaccinated",
"Transgender.Individuals.Vaccinated." = "transgender_vaccinated",
"Total.Individuals.Vaccinated" = "total_vaccinated"))Filling the missing values of few columns with 0.
covid$ConfirmedIndianNational <- ifelse(is.na(covid$ConfirmedIndianNational), 0, covid$ConfirmedIndianNational)
covid$ConfirmedForeignNational <- ifelse(is.na(covid$ConfirmedForeignNational), 0, covid$ConfirmedForeignNational)
vaccine$total_doses_administered <- ifelse(is.na(vaccine$total_doses_administered), 0, vaccine$total_doses_administered)
vaccine$Sessions <- ifelse(is.na(vaccine$Sessions), 0, vaccine$Sessions)
vaccine$Sites <- ifelse(is.na(vaccine$Sites), 0, vaccine$Sites)
vaccine$first_dose_administered <- ifelse(is.na(vaccine$first_dose_administered), 0, vaccine$first_dose_administered)
vaccine$second_dose_administered <- ifelse(is.na(vaccine$second_dose_administered), 0, vaccine$second_dose_administered)
vaccine$male_doses_administered <- ifelse(is.na(vaccine$male_doses_administered), 0, vaccine$male_doses_administered)
vaccine$female_doses_administered <- ifelse(is.na(vaccine$female_doses_administered), 0, vaccine$female_doses_administered)
vaccine$transgender_doses_administered <- ifelse(is.na(vaccine$transgender_doses_administered), 0, vaccine$transgender_doses_administered)
vaccine$covaxin_doses <- ifelse(is.na(vaccine$covaxin_doses), 0, vaccine$covaxin_doses)
vaccine$covishield_doses <- ifelse(is.na(vaccine$covishield_doses), 0, vaccine$covishield_doses)
vaccine$sputnik_V_doses <- ifelse(is.na(vaccine$sputnik_V_doses), 0, vaccine$sputnik_V_doses)
vaccine$AEFI <- ifelse(is.na(vaccine$AEFI), 0, vaccine$AEFI)
vaccine$males_vaccinated <- ifelse(is.na(vaccine$males_vaccinated), 0, vaccine$males_vaccinated)
vaccine$females_vaccinated <- ifelse(is.na(vaccine$females_vaccinated), 0, vaccine$females_vaccinated)
vaccine$transgender_vaccinated <- ifelse(is.na(vaccine$transgender_vaccinated), 0, vaccine$transgender_vaccinated)
vaccine$total_vaccinated <- ifelse(is.na(vaccine$total_vaccinated), 0, vaccine$total_vaccinated)
testing$Negative <- ifelse(is.na(testing$Negative), 0, testing$Negative)
testing$Positive <- ifelse(is.na(testing$Positive), 0, testing$Positive)Checking for the null values in our dataframes which are left after removing few columns.
sum(is.na(covid))## [1] 0sum(is.na(vaccine))## [1] 0sum(is.na(testing))## [1] 0Checking for any duplicate values in our datasets.
anyDuplicated(covid)## [1] 0anyDuplicated(vaccine)## [1] 0anyDuplicated(testing)## [1] 14864Removing the duplicate values from testing dataset and checking again if there is any duplicate values left after removing them or not.
testing <- unique(testing)
anyDuplicated(testing)## [1] 0Seeing how many observations fall under each of these column.
table(covid$State_UT)##
## Andaman and Nicobar Islands
## 504
## Andhra Pradesh
## 518
## Arunachal Pradesh
## 496
## Assam
## 498
## Bihar
## 506
## Bihar****
## 2
## Cases being reassigned to states
## 60
## Chandigarh
## 511
## Chhattisgarh
## 511
## Dadra and Nagar Haveli
## 2
## Dadra and Nagar Haveli and Daman and Diu
## 461
## Daman & Diu
## 1
## Delhi
## 528
## Goa
## 504
## Gujarat
## 510
## Haryana
## 526
## Himachal Pradesh
## 508
## Himanchal Pradesh
## 1
## Jammu and Kashmir
## 521
## Jharkhand
## 498
## Karanataka
## 1
## Karnataka
## 520
## Kerala
## 560
## Ladakh
## 523
## Lakshadweep
## 244
## Madhya Pradesh
## 508
## Madhya Pradesh***
## 1
## Maharashtra
## 520
## Maharashtra***
## 1
## Manipur
## 506
## Meghalaya
## 485
## Mizoram
## 505
## Nagaland
## 452
## Odisha
## 514
## Puducherry
## 512
## Punjab
## 521
## Rajasthan
## 527
## Sikkim
## 445
## Tamil Nadu
## 523
## Telangana
## 102
## Telengana
## 426
## Tripura
## 492
## Unassigned
## 3
## Uttar Pradesh
## 526
## Uttarakhand
## 515
## West Bengal
## 512table(covid$Time)##
## 10:00 AM 5:00 PM 6:00 PM 7:30 PM 8:00 AM 8:30 PM 9:30 PM
## 27 899 600 56 16472 28 28table(vaccine$updated_on)##
## 2021-01-16 2021-01-17 2021-01-18 2021-01-19 2021-01-20 2021-01-21 2021-01-22
## 37 37 37 37 37 37 37
## 2021-01-23 2021-01-24 2021-01-25 2021-01-26 2021-01-27 2021-01-28 2021-01-29
## 37 37 37 37 37 37 37
## 2021-01-30 2021-01-31 2021-02-01 2021-02-02 2021-02-03 2021-02-04 2021-02-05
## 37 37 37 37 37 37 37
## 2021-02-06 2021-02-07 2021-02-08 2021-02-09 2021-02-10 2021-02-11 2021-02-12
## 37 37 37 37 37 37 37
## 2021-02-13 2021-02-14 2021-02-15 2021-02-16 2021-02-17 2021-02-18 2021-02-19
## 37 37 37 37 37 37 37
## 2021-02-20 2021-02-21 2021-02-22 2021-02-23 2021-02-24 2021-02-25 2021-02-26
## 37 37 37 37 37 37 37
## 2021-02-27 2021-02-28 2021-03-01 2021-03-02 2021-03-03 2021-03-04 2021-03-05
## 37 37 37 37 37 37 37
## 2021-03-06 2021-03-07 2021-03-08 2021-03-09 2021-03-10 2021-03-11 2021-03-12
## 37 37 37 37 37 37 37
## 2021-03-13 2021-03-14 2021-03-15 2021-03-16 2021-03-17 2021-03-18 2021-03-19
## 37 37 37 37 37 37 37
## 2021-03-20 2021-03-21 2021-03-22 2021-03-23 2021-03-24 2021-03-25 2021-03-26
## 37 37 37 37 37 37 37
## 2021-03-27 2021-03-28 2021-03-29 2021-03-30 2021-03-31 2021-04-01 2021-04-02
## 37 37 37 37 37 37 37
## 2021-04-03 2021-04-04 2021-04-05 2021-04-06 2021-04-07 2021-04-08 2021-04-09
## 37 37 37 37 37 37 37
## 2021-04-10 2021-04-11 2021-04-12 2021-04-13 2021-04-14 2021-04-15 2021-04-16
## 37 37 37 37 37 37 37
## 2021-04-17 2021-04-18 2021-04-19 2021-04-20 2021-04-21 2021-04-22 2021-04-23
## 37 37 37 37 37 37 37
## 2021-04-24 2021-04-25 2021-04-26 2021-04-27 2021-04-28 2021-04-29 2021-04-30
## 37 37 37 37 37 37 37
## 2021-05-01 2021-05-02 2021-05-03 2021-05-04 2021-05-05 2021-05-06 2021-05-07
## 37 37 37 37 37 37 37
## 2021-05-08 2021-05-09 2021-05-10 2021-05-11 2021-05-12 2021-05-13 2021-05-14
## 37 37 37 37 37 37 37
## 2021-05-15 2021-05-16 2021-05-17 2021-05-18 2021-05-19 2021-05-20 2021-05-21
## 37 37 37 37 37 37 37
## 2021-05-22 2021-05-23 2021-05-24 2021-05-25 2021-05-26 2021-05-27 2021-05-28
## 37 37 37 37 37 37 37
## 2021-05-29 2021-05-30 2021-05-31 2021-06-01 2021-06-02 2021-06-03 2021-06-04
## 37 37 37 37 37 37 37
## 2021-06-05 2021-06-06 2021-06-07 2021-06-08 2021-06-09 2021-06-10 2021-06-11
## 37 37 37 37 37 37 37
## 2021-06-12 2021-06-13 2021-06-14 2021-06-15 2021-06-16 2021-06-17 2021-06-18
## 37 37 37 37 37 37 37
## 2021-06-19 2021-06-20 2021-06-21 2021-06-22 2021-06-23 2021-06-24 2021-06-25
## 37 37 37 37 37 37 37
## 2021-06-26 2021-06-27 2021-06-28 2021-06-29 2021-06-30 2021-07-01 2021-07-02
## 37 37 37 37 37 37 37
## 2021-07-03 2021-07-04 2021-07-05 2021-07-06 2021-07-07 2021-07-08 2021-07-09
## 37 37 37 37 37 37 37
## 2021-07-10 2021-07-11 2021-07-12 2021-07-13 2021-07-14 2021-07-15 2021-07-16
## 37 37 37 37 37 37 37
## 2021-07-17 2021-07-18 2021-07-19 2021-07-20 2021-07-21 2021-07-22 2021-07-23
## 37 37 37 37 37 37 37
## 2021-07-24 2021-07-25 2021-07-26 2021-07-27 2021-07-28 2021-07-29 2021-07-30
## 37 37 37 37 37 37 37
## 2021-07-31 2021-08-01 2021-08-02 2021-08-03 2021-08-04 2021-08-05 2021-08-06
## 37 37 37 37 37 37 37
## 2021-08-07 2021-08-08 2021-08-09 2021-08-10 2021-08-11 2021-08-12 2021-08-13
## 37 37 37 37 37 37 37
## 2021-08-14 2021-08-15 2021-08-16
## 37 37 1table(vaccine$State)##
## Andaman and Nicobar Islands
## 212
## Andhra Pradesh
## 212
## Arunachal Pradesh
## 212
## Assam
## 212
## Bihar
## 212
## Chandigarh
## 212
## Chhattisgarh
## 212
## Dadra and Nagar Haveli and Daman and Diu
## 212
## Delhi
## 213
## Goa
## 212
## Gujarat
## 212
## Haryana
## 212
## Himachal Pradesh
## 212
## India
## 212
## Jammu and Kashmir
## 212
## Jharkhand
## 212
## Karnataka
## 212
## Kerala
## 212
## Ladakh
## 212
## Lakshadweep
## 212
## Madhya Pradesh
## 212
## Maharashtra
## 212
## Manipur
## 212
## Meghalaya
## 212
## Mizoram
## 212
## Nagaland
## 212
## Odisha
## 212
## Puducherry
## 212
## Punjab
## 212
## Rajasthan
## 212
## Sikkim
## 212
## Tamil Nadu
## 212
## Telangana
## 212
## Tripura
## 212
## Uttar Pradesh
## 212
## Uttarakhand
## 212
## West Bengal
## 212table(testing$Date)##
## 2020-04-01 2020-04-02 2020-04-03 2020-04-04 2020-04-05 2020-04-06 2020-04-07
## 3 8 5 2 6 5 11
## 2020-04-08 2020-04-09 2020-04-10 2020-04-11 2020-04-12 2020-04-13 2020-04-14
## 12 18 25 25 25 24 28
## 2020-04-15 2020-04-16 2020-04-17 2020-04-18 2020-04-19 2020-04-20 2020-04-21
## 27 27 28 28 29 28 30
## 2020-04-22 2020-04-23 2020-04-24 2020-04-25 2020-04-26 2020-04-27 2020-04-28
## 29 27 27 27 27 30 28
## 2020-04-29 2020-04-30 2020-05-01 2020-05-02 2020-05-03 2020-05-04 2020-05-05
## 31 29 30 29 29 32 31
## 2020-05-06 2020-05-07 2020-05-08 2020-05-09 2020-05-10 2020-05-11 2020-05-12
## 29 29 30 32 32 31 28
## 2020-05-13 2020-05-14 2020-05-15 2020-05-16 2020-05-17 2020-05-18 2020-05-19
## 30 30 32 32 29 33 33
## 2020-05-20 2020-05-21 2020-05-22 2020-05-23 2020-05-24 2020-05-25 2020-05-26
## 31 31 34 33 31 32 32
## 2020-05-27 2020-05-28 2020-05-29 2020-05-30 2020-05-31 2020-06-01 2020-06-02
## 31 31 32 31 32 31 32
## 2020-06-03 2020-06-04 2020-06-05 2020-06-06 2020-06-07 2020-06-08 2020-06-09
## 33 32 33 33 32 31 32
## 2020-06-10 2020-06-11 2020-06-12 2020-06-13 2020-06-14 2020-06-15 2020-06-16
## 32 33 31 33 31 34 34
## 2020-06-17 2020-06-18 2020-06-19 2020-06-20 2020-06-21 2020-06-22 2020-06-23
## 34 33 34 34 34 35 35
## 2020-06-24 2020-06-25 2020-06-26 2020-06-27 2020-06-28 2020-06-29 2020-06-30
## 35 35 34 35 33 35 33
## 2020-07-01 2020-07-02 2020-07-03 2020-07-04 2020-07-05 2020-07-06 2020-07-07
## 34 35 35 35 34 34 35
## 2020-07-08 2020-07-09 2020-07-10 2020-07-11 2020-07-12 2020-07-13 2020-07-14
## 33 35 35 35 35 34 34
## 2020-07-15 2020-07-16 2020-07-17 2020-07-18 2020-07-19 2020-07-20 2020-07-21
## 34 34 34 35 35 35 35
## 2020-07-22 2020-07-23 2020-07-24 2020-07-25 2020-07-26 2020-07-27 2020-07-28
## 34 34 34 35 33 34 35
## 2020-07-29 2020-07-30 2020-07-31 2020-08-01 2020-08-02 2020-08-03 2020-08-04
## 35 34 35 34 34 34 35
## 2020-08-05 2020-08-06 2020-08-07 2020-08-08 2020-08-09 2020-08-10 2020-08-11
## 34 35 35 35 35 35 35
## 2020-08-12 2020-08-13 2020-08-14 2020-08-15 2020-08-16 2020-08-17 2020-08-18
## 33 35 35 35 35 33 35
## 2020-08-19 2020-08-20 2020-08-21 2020-08-22 2020-08-23 2020-08-24 2020-08-25
## 35 35 35 35 33 35 35
## 2020-08-26 2020-08-27 2020-08-28 2020-08-29 2020-08-30 2020-08-31 2020-09-01
## 35 34 35 35 33 35 35
## 2020-09-02 2020-09-03 2020-09-04 2020-09-05 2020-09-06 2020-09-07 2020-09-08
## 35 33 34 35 33 35 35
## 2020-09-09 2020-09-10 2020-09-11 2020-09-12 2020-09-13 2020-09-14 2020-09-15
## 34 35 35 35 34 35 35
## 2020-09-16 2020-09-17 2020-09-18 2020-09-19 2020-09-20 2020-09-21 2020-09-22
## 34 34 34 34 33 35 33
## 2020-09-23 2020-09-24 2020-09-25 2020-09-26 2020-09-27 2020-09-28 2020-09-29
## 34 34 32 35 33 34 35
## 2020-09-30 2020-10-01 2020-10-02 2020-10-03 2020-10-04 2020-10-05 2020-10-06
## 34 34 34 33 33 34 35
## 2020-10-07 2020-10-08 2020-10-09 2020-10-10 2020-10-11 2020-10-12 2020-10-13
## 35 35 34 34 33 33 34
## 2020-10-14 2020-10-15 2020-10-16 2020-10-17 2020-10-18 2020-10-19 2020-10-20
## 33 33 33 34 32 34 34
## 2020-10-21 2020-10-22 2020-10-23 2020-10-24 2020-10-25 2020-10-26 2020-10-27
## 33 31 34 33 34 32 33
## 2020-10-28 2020-10-29 2020-10-30 2020-10-31 2020-11-01 2020-11-02 2020-11-03
## 32 33 32 33 33 33 33
## 2020-11-04 2020-11-05 2020-11-06 2020-11-07 2020-11-08 2020-11-09 2020-11-10
## 34 32 33 34 33 34 33
## 2020-11-11 2020-11-12 2020-11-13 2020-11-14 2020-11-15 2020-11-16 2020-11-17
## 34 34 34 32 31 34 34
## 2020-11-18 2020-11-19 2020-11-20 2020-11-21 2020-11-22 2020-11-23 2020-11-24
## 34 34 33 33 32 33 34
## 2020-11-25 2020-11-26 2020-11-27 2020-11-28 2020-11-29 2020-11-30 2020-12-01
## 32 33 33 33 32 33 34
## 2020-12-02 2020-12-03 2020-12-04 2020-12-05 2020-12-06 2020-12-07 2020-12-08
## 34 34 33 34 33 33 34
## 2020-12-09 2020-12-10 2020-12-11 2020-12-12 2020-12-13 2020-12-14 2020-12-15
## 32 33 34 33 33 34 33
## 2020-12-16 2020-12-17 2020-12-18 2020-12-19 2020-12-20 2020-12-21 2020-12-22
## 33 32 32 32 31 33 34
## 2020-12-23 2020-12-24 2020-12-25 2020-12-26 2020-12-27 2020-12-28 2020-12-29
## 33 34 33 32 33 34 32
## 2020-12-30 2020-12-31 2021-01-01 2021-01-02 2021-01-03 2021-01-04 2021-01-05
## 32 32 32 32 32 33 33
## 2021-01-06 2021-01-07 2021-01-08 2021-01-09 2021-01-10 2021-01-11 2021-01-12
## 34 34 34 33 33 33 34
## 2021-01-13 2021-01-14 2021-01-15 2021-01-16 2021-01-17 2021-01-18 2021-01-19
## 34 34 33 33 31 33 32
## 2021-01-20 2021-01-21 2021-01-22 2021-01-23 2021-01-24 2021-01-25 2021-01-26
## 33 34 33 33 31 32 30
## 2021-01-27 2021-01-28 2021-01-29 2021-01-30 2021-01-31 2021-02-01 2021-02-02
## 32 32 33 33 31 32 33
## 2021-02-03 2021-02-04 2021-02-05 2021-02-06 2021-02-07 2021-02-08 2021-02-09
## 33 33 33 33 32 34 33
## 2021-02-10 2021-02-11 2021-02-12 2021-02-13 2021-02-14 2021-02-15 2021-02-16
## 34 34 34 33 33 34 33
## 2021-02-17 2021-02-18 2021-02-19 2021-02-20 2021-02-21 2021-02-22 2021-02-23
## 34 33 34 34 32 33 32
## 2021-02-24 2021-02-25 2021-02-26 2021-02-27 2021-02-28 2021-03-01 2021-03-02
## 33 33 33 31 33 34 33
## 2021-03-03 2021-03-04 2021-03-05 2021-03-06 2021-03-07 2021-03-08 2021-03-09
## 33 34 31 33 32 33 32
## 2021-03-10 2021-03-11 2021-03-12 2021-03-13 2021-03-14 2021-03-15 2021-03-16
## 31 33 32 33 33 33 33
## 2021-03-17 2021-03-18 2021-03-19 2021-03-20 2021-03-21 2021-03-22 2021-03-23
## 33 34 34 34 33 34 33
## 2021-03-24 2021-03-25 2021-03-26 2021-03-27 2021-03-28 2021-03-29 2021-03-30
## 34 34 33 32 33 32 34
## 2021-03-31 2021-04-01 2021-04-02 2021-04-03 2021-04-04 2021-04-05 2021-04-06
## 33 33 33 34 33 33 33
## 2021-04-07 2021-04-08 2021-04-09 2021-04-10 2021-04-11 2021-04-12 2021-04-13
## 33 33 32 33 33 33 33
## 2021-04-14 2021-04-15 2021-04-16 2021-04-17 2021-04-18 2021-04-19 2021-04-20
## 33 32 33 33 32 33 32
## 2021-04-21 2021-04-22 2021-04-23 2021-04-24 2021-04-25 2021-04-26 2021-04-27
## 32 33 34 33 33 33 34
## 2021-04-28 2021-04-29 2021-04-30 2021-05-01 2021-05-02 2021-05-03 2021-05-04
## 35 35 35 35 35 35 34
## 2021-05-05 2021-05-06 2021-05-07 2021-05-08 2021-05-09 2021-05-10 2021-05-11
## 35 35 35 35 34 35 35
## 2021-05-12 2021-05-13 2021-05-14 2021-05-15 2021-05-16 2021-05-17 2021-05-18
## 35 34 35 34 35 35 34
## 2021-05-19 2021-05-20 2021-05-21 2021-05-22 2021-05-23 2021-05-24 2021-05-25
## 35 35 34 34 35 34 34
## 2021-05-26 2021-05-27 2021-05-28 2021-05-29 2021-05-30 2021-05-31 2021-06-01
## 35 34 34 35 35 35 35
## 2021-06-02 2021-06-03 2021-06-04 2021-06-05 2021-06-06 2021-06-07 2021-06-08
## 34 35 35 35 35 35 35
## 2021-06-09 2021-06-10 2021-06-11 2021-06-12 2021-06-13 2021-06-14 2021-06-15
## 35 35 35 35 35 35 35
## 2021-06-16 2021-06-17 2021-06-18 2021-06-19 2021-06-20 2021-06-21 2021-06-22
## 35 35 35 35 35 35 35
## 2021-06-23 2021-06-24 2021-06-25 2021-06-26 2021-06-27 2021-06-28 2021-06-29
## 35 35 35 35 35 35 35
## 2021-06-30 2021-07-01 2021-07-02 2021-07-03 2021-07-04 2021-07-05 2021-07-06
## 35 35 35 34 35 35 35
## 2021-07-07 2021-07-08 2021-07-09 2021-07-10 2021-07-11 2021-07-12 2021-07-13
## 35 35 35 34 35 35 35
## 2021-07-14 2021-07-15 2021-07-16 2021-07-17 2021-07-18 2021-07-19 2021-07-20
## 35 35 35 35 35 35 35
## 2021-07-21 2021-07-22 2021-07-23 2021-07-24 2021-07-25 2021-07-26 2021-07-27
## 35 35 35 35 35 35 35
## 2021-07-28 2021-07-29 2021-07-30 2021-07-31 2021-08-01 2021-08-02 2021-08-03
## 35 35 35 35 35 35 35
## 2021-08-04 2021-08-05 2021-08-06 2021-08-07 2021-08-08 2021-08-09 2021-08-10
## 35 35 35 35 35 35 33table(testing$State)##
## Andaman and Nicobar Islands
## 453
## Andhra Pradesh
## 488
## Arunachal Pradesh
## 477
## Assam
## 469
## Bihar
## 489
## Chandigarh
## 479
## Chhattisgarh
## 482
## Dadra and Nagar Haveli and Daman and Diu
## 170
## Delhi
## 489
## Goa
## 483
## Gujarat
## 487
## Haryana
## 492
## Himachal Pradesh
## 488
## Jammu and Kashmir
## 489
## Jharkhand
## 484
## Karnataka
## 491
## Kerala
## 497
## Ladakh
## 294
## Lakshadweep
## 195
## Madhya Pradesh
## 492
## Maharashtra
## 488
## Manipur
## 406
## Meghalaya
## 409
## Mizoram
## 465
## Nagaland
## 484
## Odisha
## 492
## Puducherry
## 478
## Punjab
## 491
## Rajasthan
## 491
## Sikkim
## 413
## Tamil Nadu
## 491
## Telangana
## 419
## Tripura
## 447
## Uttar Pradesh
## 489
## Uttarakhand
## 491
## West Bengal
## 493Creating Month columns from Dates and updated_on in each dataframe.
covid$Month <- format(as.Date(covid$Date), "%b")
vaccine$Month <- format(as.Date(vaccine$updated_on), "%b")
testing$Month <- format(as.Date(testing$Date), "%b")Checking the new Month columns in each dataframe.
str(covid)## 'data.frame': 18110 obs. of 9 variables:
## $ Date : Date, format: "2020-01-30" "2020-01-31" ...
## $ Time : chr "6:00 PM" "6:00 PM" "6:00 PM" "6:00 PM" ...
## $ State_UT : chr "Kerala" "Kerala" "Kerala" "Kerala" ...
## $ ConfirmedIndianNational : num 1 1 2 3 3 3 3 3 3 3 ...
## $ ConfirmedForeignNational: num 0 0 0 0 0 0 0 0 0 0 ...
## $ Cured : int 0 0 0 0 0 0 0 0 0 0 ...
## $ Deaths : int 0 0 0 0 0 0 0 0 0 0 ...
## $ Confirmed : int 1 1 2 3 3 3 3 3 3 3 ...
## $ Month : chr "Jan" "Jan" "Feb" "Feb" ...str(vaccine)## 'data.frame': 7845 obs. of 19 variables:
## $ updated_on : Date, format: "2021-01-16" "2021-01-17" ...
## $ State : chr "India" "India" "India" "India" ...
## $ total_doses_administered : num 48276 58604 99449 195525 251280 ...
## $ Sessions : num 3455 8532 13611 17855 25472 ...
## $ Sites : num 2957 4954 6583 7951 10504 ...
## $ first_dose_administered : num 48276 58604 99449 195525 251280 ...
## $ second_dose_administered : num 0 0 0 0 0 0 0 0 0 0 ...
## $ male_doses_administered : num 0 0 0 0 0 0 0 0 0 0 ...
## $ female_doses_administered : num 0 0 0 0 0 0 0 0 0 0 ...
## $ transgender_doses_administered: num 0 0 0 0 0 0 0 0 0 0 ...
## $ covaxin_doses : num 579 635 1299 3017 3946 ...
## $ covishield_doses : num 47697 57969 98150 192508 247334 ...
## $ sputnik_V_doses : num 0 0 0 0 0 0 0 0 0 0 ...
## $ AEFI : num 0 0 0 0 0 0 0 0 0 0 ...
## $ males_vaccinated : num 23757 27348 41361 81901 98111 ...
## $ females_vaccinated : num 24517 31252 58083 113613 153145 ...
## $ transgender_vaccinated : num 2 4 5 11 24 38 80 103 128 201 ...
## $ total_vaccinated : num 48276 58604 99449 195525 251280 ...
## $ Month : chr "Jan" "Jan" "Jan" "Jan" ...str(testing)## 'data.frame': 16335 obs. of 6 variables:
## $ Date : Date, format: "2020-04-17" "2020-04-24" ...
## $ State : chr "Andaman and Nicobar Islands" "Andaman and Nicobar Islands" "Andaman and Nicobar Islands" "Andaman and Nicobar Islands" ...
## $ TotalSamples: num 1403 2679 2848 3754 6677 ...
## $ Negative : num 1210 0 0 0 0 0 0 0 0 0 ...
## $ Positive : num 12 27 33 33 33 33 33 33 33 33 ...
## $ Month : chr "Apr" "Apr" "Apr" "May" ...CONDUCTNG DESCRIPTIVE ANALYSIS:
Descriptive analysis on few columns of our datasets.
summary(covid$ConfirmedIndianNational)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.0000 0.0000 0.0000 0.3002 0.0000 177.0000summary(covid$ConfirmedForeignNational)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.00000 0.00000 0.00000 0.03683 0.00000 14.00000summary(covid$Cured)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0 3360 33364 278638 278870 6159676summary(covid$Deaths)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0 32 588 4052 3644 134201summary(covid$Confirmed)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0 4377 39774 301031 300150 6363442Comparing different columns with each other from each of our datasets.
aggregate(covid$ConfirmedIndianNational ~ covid$State_UT, data = covid, FUN = mean)## covid$State_UT covid$ConfirmedIndianNational
## 1 Andaman and Nicobar Islands 0.015873016
## 2 Andhra Pradesh 0.156370656
## 3 Arunachal Pradesh 0.000000000
## 4 Assam 0.000000000
## 5 Bihar 0.063241107
## 6 Bihar**** 0.000000000
## 7 Cases being reassigned to states 0.000000000
## 8 Chandigarh 0.097847358
## 9 Chhattisgarh 0.048923679
## 10 Dadra and Nagar Haveli 0.000000000
## 11 Dadra and Nagar Haveli and Daman and Diu 0.000000000
## 12 Daman & Diu 0.000000000
## 13 Delhi 0.666666667
## 14 Goa 0.017857143
## 15 Gujarat 0.501960784
## 16 Haryana 0.211026616
## 17 Himachal Pradesh 0.041338583
## 18 Himanchal Pradesh 0.000000000
## 19 Jammu and Kashmir 0.182341651
## 20 Jharkhand 0.000000000
## 21 Karanataka 0.000000000
## 22 Karnataka 0.778846154
## 23 Kerala 1.948214286
## 24 Ladakh 0.309751434
## 25 Lakshadweep 0.000000000
## 26 Madhya Pradesh 0.206692913
## 27 Madhya Pradesh*** 0.000000000
## 28 Maharashtra 2.136538462
## 29 Maharashtra*** 0.000000000
## 30 Manipur 0.009881423
## 31 Meghalaya 0.000000000
## 32 Mizoram 0.007920792
## 33 Nagaland 0.000000000
## 34 Odisha 0.044747082
## 35 Puducherry 0.021484375
## 36 Punjab 0.443378119
## 37 Rajasthan 0.561669829
## 38 Sikkim 0.000000000
## 39 Tamil Nadu 0.263862333
## 40 Telangana 0.000000000
## 41 Telengana 0.577464789
## 42 Tripura 0.000000000
## 43 Unassigned 0.000000000
## 44 Uttar Pradesh 0.878326996
## 45 Uttarakhand 0.067961165
## 46 West Bengal 0.138671875aggregate(covid$ConfirmedIndianNational ~ covid$State_UT, data = covid, FUN = median)## covid$State_UT covid$ConfirmedIndianNational
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Bihar**** 0
## 7 Cases being reassigned to states 0
## 8 Chandigarh 0
## 9 Chhattisgarh 0
## 10 Dadra and Nagar Haveli 0
## 11 Dadra and Nagar Haveli and Daman and Diu 0
## 12 Daman & Diu 0
## 13 Delhi 0
## 14 Goa 0
## 15 Gujarat 0
## 16 Haryana 0
## 17 Himachal Pradesh 0
## 18 Himanchal Pradesh 0
## 19 Jammu and Kashmir 0
## 20 Jharkhand 0
## 21 Karanataka 0
## 22 Karnataka 0
## 23 Kerala 0
## 24 Ladakh 0
## 25 Lakshadweep 0
## 26 Madhya Pradesh 0
## 27 Madhya Pradesh*** 0
## 28 Maharashtra 0
## 29 Maharashtra*** 0
## 30 Manipur 0
## 31 Meghalaya 0
## 32 Mizoram 0
## 33 Nagaland 0
## 34 Odisha 0
## 35 Puducherry 0
## 36 Punjab 0
## 37 Rajasthan 0
## 38 Sikkim 0
## 39 Tamil Nadu 0
## 40 Telangana 0
## 41 Telengana 0
## 42 Tripura 0
## 43 Unassigned 0
## 44 Uttar Pradesh 0
## 45 Uttarakhand 0
## 46 West Bengal 0aggregate(covid$ConfirmedIndianNational ~ covid$State_UT, data = covid, FUN = max)## covid$State_UT covid$ConfirmedIndianNational
## 1 Andaman and Nicobar Islands 6
## 2 Andhra Pradesh 14
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 9
## 6 Bihar**** 0
## 7 Cases being reassigned to states 0
## 8 Chandigarh 8
## 9 Chhattisgarh 6
## 10 Dadra and Nagar Haveli 0
## 11 Dadra and Nagar Haveli and Daman and Diu 0
## 12 Daman & Diu 0
## 13 Delhi 38
## 14 Goa 3
## 15 Gujarat 44
## 16 Haryana 19
## 17 Himachal Pradesh 3
## 18 Himanchal Pradesh 0
## 19 Jammu and Kashmir 20
## 20 Jharkhand 0
## 21 Karanataka 0
## 22 Karnataka 55
## 23 Kerala 168
## 24 Ladakh 13
## 25 Lakshadweep 0
## 26 Madhya Pradesh 30
## 27 Madhya Pradesh*** 0
## 28 Maharashtra 177
## 29 Maharashtra*** 0
## 30 Manipur 1
## 31 Meghalaya 0
## 32 Mizoram 1
## 33 Nagaland 0
## 34 Odisha 3
## 35 Puducherry 1
## 36 Punjab 38
## 37 Rajasthan 52
## 38 Sikkim 0
## 39 Tamil Nadu 34
## 40 Telangana 0
## 41 Telengana 46
## 42 Tripura 0
## 43 Unassigned 0
## 44 Uttar Pradesh 54
## 45 Uttarakhand 4
## 46 West Bengal 15aggregate(covid$ConfirmedIndianNational ~ covid$State_UT, data = covid, FUN = min)## covid$State_UT covid$ConfirmedIndianNational
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Bihar**** 0
## 7 Cases being reassigned to states 0
## 8 Chandigarh 0
## 9 Chhattisgarh 0
## 10 Dadra and Nagar Haveli 0
## 11 Dadra and Nagar Haveli and Daman and Diu 0
## 12 Daman & Diu 0
## 13 Delhi 0
## 14 Goa 0
## 15 Gujarat 0
## 16 Haryana 0
## 17 Himachal Pradesh 0
## 18 Himanchal Pradesh 0
## 19 Jammu and Kashmir 0
## 20 Jharkhand 0
## 21 Karanataka 0
## 22 Karnataka 0
## 23 Kerala 0
## 24 Ladakh 0
## 25 Lakshadweep 0
## 26 Madhya Pradesh 0
## 27 Madhya Pradesh*** 0
## 28 Maharashtra 0
## 29 Maharashtra*** 0
## 30 Manipur 0
## 31 Meghalaya 0
## 32 Mizoram 0
## 33 Nagaland 0
## 34 Odisha 0
## 35 Puducherry 0
## 36 Punjab 0
## 37 Rajasthan 0
## 38 Sikkim 0
## 39 Tamil Nadu 0
## 40 Telangana 0
## 41 Telengana 0
## 42 Tripura 0
## 43 Unassigned 0
## 44 Uttar Pradesh 0
## 45 Uttarakhand 0
## 46 West Bengal 0aggregate(covid$ConfirmedForeignNational ~ covid$State_UT, data = covid, FUN = mean)## covid$State_UT covid$ConfirmedForeignNational
## 1 Andaman and Nicobar Islands 0.000000000
## 2 Andhra Pradesh 0.000000000
## 3 Arunachal Pradesh 0.000000000
## 4 Assam 0.000000000
## 5 Bihar 0.000000000
## 6 Bihar**** 0.000000000
## 7 Cases being reassigned to states 0.000000000
## 8 Chandigarh 0.000000000
## 9 Chhattisgarh 0.000000000
## 10 Dadra and Nagar Haveli 0.000000000
## 11 Dadra and Nagar Haveli and Daman and Diu 0.000000000
## 12 Daman & Diu 0.000000000
## 13 Delhi 0.020833333
## 14 Goa 0.000000000
## 15 Gujarat 0.009803922
## 16 Haryana 0.505703422
## 17 Himachal Pradesh 0.000000000
## 18 Himanchal Pradesh 0.000000000
## 19 Jammu and Kashmir 0.000000000
## 20 Jharkhand 0.000000000
## 21 Karanataka 0.000000000
## 22 Karnataka 0.000000000
## 23 Kerala 0.123214286
## 24 Ladakh 0.000000000
## 25 Lakshadweep 0.000000000
## 26 Madhya Pradesh 0.000000000
## 27 Madhya Pradesh*** 0.000000000
## 28 Maharashtra 0.069230769
## 29 Maharashtra*** 0.000000000
## 30 Manipur 0.000000000
## 31 Meghalaya 0.000000000
## 32 Mizoram 0.000000000
## 33 Nagaland 0.000000000
## 34 Odisha 0.000000000
## 35 Puducherry 0.000000000
## 36 Punjab 0.000000000
## 37 Rajasthan 0.256166983
## 38 Sikkim 0.000000000
## 39 Tamil Nadu 0.049713193
## 40 Telangana 0.000000000
## 41 Telengana 0.227699531
## 42 Tripura 0.000000000
## 43 Unassigned 0.000000000
## 44 Uttar Pradesh 0.032319392
## 45 Uttarakhand 0.009708738
## 46 West Bengal 0.000000000aggregate(covid$ConfirmedForeignNational ~ covid$State_UT, data = covid, FUN = median)## covid$State_UT covid$ConfirmedForeignNational
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Bihar**** 0
## 7 Cases being reassigned to states 0
## 8 Chandigarh 0
## 9 Chhattisgarh 0
## 10 Dadra and Nagar Haveli 0
## 11 Dadra and Nagar Haveli and Daman and Diu 0
## 12 Daman & Diu 0
## 13 Delhi 0
## 14 Goa 0
## 15 Gujarat 0
## 16 Haryana 0
## 17 Himachal Pradesh 0
## 18 Himanchal Pradesh 0
## 19 Jammu and Kashmir 0
## 20 Jharkhand 0
## 21 Karanataka 0
## 22 Karnataka 0
## 23 Kerala 0
## 24 Ladakh 0
## 25 Lakshadweep 0
## 26 Madhya Pradesh 0
## 27 Madhya Pradesh*** 0
## 28 Maharashtra 0
## 29 Maharashtra*** 0
## 30 Manipur 0
## 31 Meghalaya 0
## 32 Mizoram 0
## 33 Nagaland 0
## 34 Odisha 0
## 35 Puducherry 0
## 36 Punjab 0
## 37 Rajasthan 0
## 38 Sikkim 0
## 39 Tamil Nadu 0
## 40 Telangana 0
## 41 Telengana 0
## 42 Tripura 0
## 43 Unassigned 0
## 44 Uttar Pradesh 0
## 45 Uttarakhand 0
## 46 West Bengal 0aggregate(covid$ConfirmedForeignNational ~ covid$State_UT, data = covid, FUN = max)## covid$State_UT covid$ConfirmedForeignNational
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Bihar**** 0
## 7 Cases being reassigned to states 0
## 8 Chandigarh 0
## 9 Chhattisgarh 0
## 10 Dadra and Nagar Haveli 0
## 11 Dadra and Nagar Haveli and Daman and Diu 0
## 12 Daman & Diu 0
## 13 Delhi 1
## 14 Goa 0
## 15 Gujarat 1
## 16 Haryana 14
## 17 Himachal Pradesh 0
## 18 Himanchal Pradesh 0
## 19 Jammu and Kashmir 0
## 20 Jharkhand 0
## 21 Karanataka 0
## 22 Karnataka 0
## 23 Kerala 8
## 24 Ladakh 0
## 25 Lakshadweep 0
## 26 Madhya Pradesh 0
## 27 Madhya Pradesh*** 0
## 28 Maharashtra 3
## 29 Maharashtra*** 0
## 30 Manipur 0
## 31 Meghalaya 0
## 32 Mizoram 0
## 33 Nagaland 0
## 34 Odisha 0
## 35 Puducherry 0
## 36 Punjab 0
## 37 Rajasthan 14
## 38 Sikkim 0
## 39 Tamil Nadu 6
## 40 Telangana 0
## 41 Telengana 11
## 42 Tripura 0
## 43 Unassigned 0
## 44 Uttar Pradesh 1
## 45 Uttarakhand 1
## 46 West Bengal 0aggregate(covid$ConfirmedForeignNational ~ covid$State_UT, data = covid, FUN = min)## covid$State_UT covid$ConfirmedForeignNational
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Bihar**** 0
## 7 Cases being reassigned to states 0
## 8 Chandigarh 0
## 9 Chhattisgarh 0
## 10 Dadra and Nagar Haveli 0
## 11 Dadra and Nagar Haveli and Daman and Diu 0
## 12 Daman & Diu 0
## 13 Delhi 0
## 14 Goa 0
## 15 Gujarat 0
## 16 Haryana 0
## 17 Himachal Pradesh 0
## 18 Himanchal Pradesh 0
## 19 Jammu and Kashmir 0
## 20 Jharkhand 0
## 21 Karanataka 0
## 22 Karnataka 0
## 23 Kerala 0
## 24 Ladakh 0
## 25 Lakshadweep 0
## 26 Madhya Pradesh 0
## 27 Madhya Pradesh*** 0
## 28 Maharashtra 0
## 29 Maharashtra*** 0
## 30 Manipur 0
## 31 Meghalaya 0
## 32 Mizoram 0
## 33 Nagaland 0
## 34 Odisha 0
## 35 Puducherry 0
## 36 Punjab 0
## 37 Rajasthan 0
## 38 Sikkim 0
## 39 Tamil Nadu 0
## 40 Telangana 0
## 41 Telengana 0
## 42 Tripura 0
## 43 Unassigned 0
## 44 Uttar Pradesh 0
## 45 Uttarakhand 0
## 46 West Bengal 0aggregate(covid$Cured ~ covid$State_UT, data = covid, FUN = mean)## covid$State_UT covid$Cured
## 1 Andaman and Nicobar Islands 3667.234
## 2 Andhra Pradesh 715109.131
## 3 Arunachal Pradesh 13282.558
## 4 Assam 186101.767
## 5 Bihar 247278.462
## 6 Bihar**** 701234.000
## 7 Cases being reassigned to states 0.000
## 8 Chandigarh 19798.503
## 9 Chhattisgarh 296691.515
## 10 Dadra and Nagar Haveli 10176.000
## 11 Dadra and Nagar Haveli and Daman and Diu 3995.119
## 12 Daman & Diu 0.000
## 13 Delhi 517840.695
## 14 Goa 51641.272
## 15 Gujarat 259778.680
## 16 Haryana 240656.544
## 17 Himachal Pradesh 54136.043
## 18 Himanchal Pradesh 200040.000
## 19 Jammu and Kashmir 102298.159
## 20 Jharkhand 116535.153
## 21 Karanataka 2821491.000
## 22 Karnataka 849700.692
## 23 Kerala 750311.134
## 24 Ladakh 7187.304
## 25 Lakshadweep 3364.447
## 26 Madhya Pradesh 249458.656
## 27 Madhya Pradesh*** 780735.000
## 28 Maharashtra 1959163.537
## 29 Maharashtra*** 6000911.000
## 30 Manipur 22194.798
## 31 Meghalaya 13480.225
## 32 Mizoram 4721.984
## 33 Nagaland 9998.951
## 34 Odisha 293625.399
## 35 Puducherry 36099.838
## 36 Punjab 175543.491
## 37 Rajasthan 285307.059
## 38 Sikkim 6173.515
## 39 Tamil Nadu 772649.727
## 40 Telangana 563610.245
## 41 Telengana 151798.749
## 42 Tripura 26375.703
## 43 Unassigned 0.000
## 44 Uttar Pradesh 554143.253
## 45 Uttarakhand 93908.235
## 46 West Bengal 483427.934aggregate(covid$Cured ~ covid$State_UT, data = covid, FUN = median)## covid$State_UT covid$Cured
## 1 Andaman and Nicobar Islands 4574.5
## 2 Andhra Pradesh 844451.0
## 3 Arunachal Pradesh 15593.0
## 4 Assam 209048.5
## 5 Bihar 227197.5
## 6 Bihar**** 701234.0
## 7 Cases being reassigned to states 0.0
## 8 Chandigarh 15857.0
## 9 Chhattisgarh 210917.0
## 10 Dadra and Nagar Haveli 10176.0
## 11 Dadra and Nagar Haveli and Daman and Diu 3354.0
## 12 Daman & Diu 0.0
## 13 Delhi 463755.5
## 14 Goa 46100.0
## 15 Gujarat 188694.5
## 16 Haryana 191300.0
## 17 Himachal Pradesh 30252.0
## 18 Himanchal Pradesh 200040.0
## 19 Jammu and Kashmir 99827.0
## 20 Jharkhand 107218.0
## 21 Karanataka 2821491.0
## 22 Karnataka 837327.5
## 23 Kerala 368848.0
## 24 Ladakh 6911.0
## 25 Lakshadweep 734.5
## 26 Madhya Pradesh 185767.0
## 27 Madhya Pradesh*** 780735.0
## 28 Maharashtra 1652928.5
## 29 Maharashtra*** 6000911.0
## 30 Manipur 21642.0
## 31 Meghalaya 11927.0
## 32 Mizoram 3572.0
## 33 Nagaland 11578.5
## 34 Odisha 309293.0
## 35 Puducherry 35753.5
## 36 Punjab 135739.0
## 37 Rajasthan 214616.0
## 38 Sikkim 5233.0
## 39 Tamil Nadu 745848.0
## 40 Telangana 592723.5
## 41 Telengana 162170.0
## 42 Tripura 32147.0
## 43 Unassigned 0.0
## 44 Uttar Pradesh 492179.5
## 45 Uttarakhand 67119.0
## 46 West Bengal 442843.5aggregate(covid$Cured ~ covid$State_UT, data = covid, FUN = max)## covid$State_UT covid$Cured
## 1 Andaman and Nicobar Islands 7412
## 2 Andhra Pradesh 1952736
## 3 Arunachal Pradesh 47821
## 4 Assam 559684
## 5 Bihar 715352
## 6 Bihar**** 701234
## 7 Cases being reassigned to states 0
## 8 Chandigarh 61150
## 9 Chhattisgarh 988189
## 10 Dadra and Nagar Haveli 10261
## 11 Dadra and Nagar Haveli and Daman and Diu 10646
## 12 Daman & Diu 0
## 13 Delhi 1411280
## 14 Goa 167978
## 15 Gujarat 814802
## 16 Haryana 759790
## 17 Himachal Pradesh 202761
## 18 Himanchal Pradesh 200040
## 19 Jammu and Kashmir 317081
## 20 Jharkhand 342102
## 21 Karanataka 2821491
## 22 Karnataka 2861499
## 23 Kerala 3396184
## 24 Ladakh 20130
## 25 Lakshadweep 10165
## 26 Madhya Pradesh 781330
## 27 Madhya Pradesh*** 780735
## 28 Maharashtra 6159676
## 29 Maharashtra*** 6000911
## 30 Manipur 96776
## 31 Meghalaya 64157
## 32 Mizoram 33722
## 33 Nagaland 26852
## 34 Odisha 972710
## 35 Puducherry 119115
## 36 Punjab 582791
## 37 Rajasthan 944700
## 38 Sikkim 25095
## 39 Tamil Nadu 2524400
## 40 Telangana 638410
## 41 Telengana 362160
## 42 Tripura 77811
## 43 Unassigned 0
## 44 Uttar Pradesh 1685492
## 45 Uttarakhand 334650
## 46 West Bengal 1506532aggregate(covid$Cured ~ covid$State_UT, data = covid, FUN = min)## covid$State_UT covid$Cured
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Bihar**** 701234
## 7 Cases being reassigned to states 0
## 8 Chandigarh 0
## 9 Chhattisgarh 0
## 10 Dadra and Nagar Haveli 10091
## 11 Dadra and Nagar Haveli and Daman and Diu 0
## 12 Daman & Diu 0
## 13 Delhi 0
## 14 Goa 0
## 15 Gujarat 0
## 16 Haryana 0
## 17 Himachal Pradesh 0
## 18 Himanchal Pradesh 200040
## 19 Jammu and Kashmir 0
## 20 Jharkhand 0
## 21 Karanataka 2821491
## 22 Karnataka 0
## 23 Kerala 0
## 24 Ladakh 0
## 25 Lakshadweep 0
## 26 Madhya Pradesh 0
## 27 Madhya Pradesh*** 780735
## 28 Maharashtra 0
## 29 Maharashtra*** 6000911
## 30 Manipur 0
## 31 Meghalaya 0
## 32 Mizoram 0
## 33 Nagaland 0
## 34 Odisha 0
## 35 Puducherry 0
## 36 Punjab 0
## 37 Rajasthan 0
## 38 Sikkim 0
## 39 Tamil Nadu 0
## 40 Telangana 367727
## 41 Telengana 0
## 42 Tripura 0
## 43 Unassigned 0
## 44 Uttar Pradesh 0
## 45 Uttarakhand 0
## 46 West Bengal 0aggregate(covid$Deaths ~ covid$State_UT, data = covid, FUN = mean)## covid$State_UT covid$Deaths
## 1 Andaman and Nicobar Islands 5.384127e+01
## 2 Andhra Pradesh 5.674454e+03
## 3 Arunachal Pradesh 5.403024e+01
## 4 Assam 1.281773e+03
## 5 Bihar 2.161000e+03
## 6 Bihar**** 9.440500e+03
## 7 Cases being reassigned to states 0.000000e+00
## 8 Chandigarh 2.890294e+02
## 9 Chhattisgarh 4.038982e+03
## 10 Dadra and Nagar Haveli 4.000000e+00
## 11 Dadra and Nagar Haveli and Daman and Diu 2.199566e+00
## 12 Daman & Diu 0.000000e+00
## 13 Delhi 9.362299e+03
## 14 Goa 8.884940e+02
## 15 Gujarat 4.351859e+03
## 16 Haryana 2.857032e+03
## 17 Himachal Pradesh 9.672205e+02
## 18 Himanchal Pradesh 3.507000e+03
## 19 Jammu and Kashmir 1.611697e+03
## 20 Jharkhand 1.503295e+03
## 21 Karanataka 3.619700e+04
## 22 Karnataka 1.164185e+04
## 23 Kerala 3.371745e+03
## 24 Ladakh 8.757935e+01
## 25 Lakshadweep 1.601639e+01
## 26 Madhya Pradesh 3.499512e+03
## 27 Madhya Pradesh*** 1.050600e+04
## 28 Maharashtra 4.564891e+04
## 29 Maharashtra*** 1.307530e+05
## 30 Manipur 3.420079e+02
## 31 Meghalaya 2.102062e+02
## 32 Mizoram 1.938812e+01
## 33 Nagaland 1.293363e+02
## 34 Odisha 1.538549e+03
## 35 Puducherry 6.096777e+02
## 36 Punjab 5.346630e+03
## 37 Rajasthan 2.795235e+03
## 38 Sikkim 1.194382e+02
## 39 Tamil Nadu 1.131292e+04
## 40 Telangana 3.427922e+03
## 41 Telengana 9.399695e+02
## 42 Tripura 3.055732e+02
## 43 Unassigned 0.000000e+00
## 44 Uttar Pradesh 7.877281e+03
## 45 Uttarakhand 1.914565e+03
## 46 West Bengal 7.513650e+03aggregate(covid$Deaths ~ covid$State_UT, data = covid, FUN = median)## covid$State_UT covid$Deaths
## 1 Andaman and Nicobar Islands 61.0
## 2 Andhra Pradesh 6959.0
## 3 Arunachal Pradesh 55.0
## 4 Assam 988.0
## 5 Bihar 1256.0
## 6 Bihar**** 9440.5
## 7 Cases being reassigned to states 0.0
## 8 Chandigarh 274.0
## 9 Chhattisgarh 2830.0
## 10 Dadra and Nagar Haveli 4.0
## 11 Dadra and Nagar Haveli and Daman and Diu 2.0
## 12 Daman & Diu 0.0
## 13 Delhi 8100.0
## 14 Goa 691.5
## 15 Gujarat 3961.0
## 16 Haryana 2150.5
## 17 Himachal Pradesh 629.0
## 18 Himanchal Pradesh 3507.0
## 19 Jammu and Kashmir 1641.0
## 20 Jharkhand 978.5
## 21 Karanataka 36197.0
## 22 Karnataka 11666.0
## 23 Kerala 1573.0
## 24 Ladakh 100.0
## 25 Lakshadweep 1.0
## 26 Madhya Pradesh 3243.5
## 27 Madhya Pradesh*** 10506.0
## 28 Maharashtra 46638.0
## 29 Maharashtra*** 130753.0
## 30 Manipur 285.0
## 31 Meghalaya 124.0
## 32 Mizoram 6.0
## 33 Nagaland 78.5
## 34 Odisha 1711.0
## 35 Puducherry 609.0
## 36 Punjab 4631.0
## 37 Rajasthan 2130.0
## 38 Sikkim 127.0
## 39 Tamil Nadu 11605.0
## 40 Telangana 3571.5
## 41 Telengana 1131.0
## 42 Tripura 373.0
## 43 Unassigned 0.0
## 44 Uttar Pradesh 7512.0
## 45 Uttarakhand 1196.0
## 46 West Bengal 8296.0aggregate(covid$Deaths ~ covid$State_UT, data = covid, FUN = max)## covid$State_UT covid$Deaths
## 1 Andaman and Nicobar Islands 129
## 2 Andhra Pradesh 13564
## 3 Arunachal Pradesh 248
## 4 Assam 5420
## 5 Bihar 9646
## 6 Bihar**** 9452
## 7 Cases being reassigned to states 0
## 8 Chandigarh 811
## 9 Chhattisgarh 13544
## 10 Dadra and Nagar Haveli 4
## 11 Dadra and Nagar Haveli and Daman and Diu 4
## 12 Daman & Diu 0
## 13 Delhi 25068
## 14 Goa 3164
## 15 Gujarat 10077
## 16 Haryana 9652
## 17 Himachal Pradesh 3537
## 18 Himanchal Pradesh 3507
## 19 Jammu and Kashmir 4392
## 20 Jharkhand 5130
## 21 Karanataka 36197
## 22 Karnataka 36848
## 23 Kerala 18004
## 24 Ladakh 207
## 25 Lakshadweep 51
## 26 Madhya Pradesh 10514
## 27 Madhya Pradesh*** 10506
## 28 Maharashtra 134201
## 29 Maharashtra*** 130753
## 30 Manipur 1664
## 31 Meghalaya 1185
## 32 Mizoram 171
## 33 Nagaland 585
## 34 Odisha 6565
## 35 Puducherry 1800
## 36 Punjab 16322
## 37 Rajasthan 8954
## 38 Sikkim 356
## 39 Tamil Nadu 34367
## 40 Telangana 3831
## 41 Telengana 2312
## 42 Tripura 773
## 43 Unassigned 0
## 44 Uttar Pradesh 22775
## 45 Uttarakhand 7368
## 46 West Bengal 18252aggregate(covid$Deaths ~ covid$State_UT, data = covid, FUN = min)## covid$State_UT covid$Deaths
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 1
## 6 Bihar**** 9429
## 7 Cases being reassigned to states 0
## 8 Chandigarh 0
## 9 Chhattisgarh 0
## 10 Dadra and Nagar Haveli 4
## 11 Dadra and Nagar Haveli and Daman and Diu 0
## 12 Daman & Diu 0
## 13 Delhi 0
## 14 Goa 0
## 15 Gujarat 0
## 16 Haryana 0
## 17 Himachal Pradesh 0
## 18 Himanchal Pradesh 3507
## 19 Jammu and Kashmir 0
## 20 Jharkhand 0
## 21 Karanataka 36197
## 22 Karnataka 0
## 23 Kerala 0
## 24 Ladakh 0
## 25 Lakshadweep 0
## 26 Madhya Pradesh 0
## 27 Madhya Pradesh*** 10506
## 28 Maharashtra 0
## 29 Maharashtra*** 130753
## 30 Manipur 0
## 31 Meghalaya 0
## 32 Mizoram 0
## 33 Nagaland 0
## 34 Odisha 0
## 35 Puducherry 0
## 36 Punjab 0
## 37 Rajasthan 0
## 38 Sikkim 0
## 39 Tamil Nadu 0
## 40 Telangana 2368
## 41 Telengana 0
## 42 Tripura 0
## 43 Unassigned 0
## 44 Uttar Pradesh 0
## 45 Uttarakhand 0
## 46 West Bengal 0aggregate(covid$Confirmed ~ covid$State_UT, data = covid, FUN = mean)## covid$State_UT covid$Confirmed
## 1 Andaman and Nicobar Islands 3.846226e+03
## 2 Andhra Pradesh 7.575922e+05
## 3 Arunachal Pradesh 1.446957e+04
## 4 Assam 2.004759e+05
## 5 Bihar 2.613264e+05
## 6 Bihar**** 7.154545e+05
## 7 Cases being reassigned to states 5.759417e+03
## 8 Chandigarh 2.124976e+04
## 9 Chhattisgarh 3.205015e+05
## 10 Dadra and Nagar Haveli 1.036100e+04
## 11 Dadra and Nagar Haveli and Daman and Diu 4.205275e+03
## 12 Daman & Diu 2.000000e+00
## 13 Delhi 5.439920e+05
## 14 Goa 5.603206e+04
## 15 Gujarat 2.812158e+05
## 16 Haryana 2.554131e+05
## 17 Himachal Pradesh 5.912065e+04
## 18 Himanchal Pradesh 2.045160e+05
## 19 Jammu and Kashmir 1.115503e+05
## 20 Jharkhand 1.247229e+05
## 21 Karanataka 2.885238e+06
## 22 Karnataka 9.345590e+05
## 23 Kerala 8.194750e+05
## 24 Ladakh 7.751994e+03
## 25 Lakshadweep 3.753213e+03
## 26 Madhya Pradesh 2.669789e+05
## 27 Madhya Pradesh*** 7.916560e+05
## 28 Maharashtra 2.156714e+06
## 29 Maharashtra*** 6.229596e+06
## 30 Manipur 2.493665e+04
## 31 Meghalaya 1.516695e+04
## 32 Mizoram 5.910360e+03
## 33 Nagaland 1.115430e+04
## 34 Odisha 3.115380e+05
## 35 Puducherry 3.919119e+04
## 36 Punjab 1.918420e+05
## 37 Rajasthan 3.081018e+05
## 38 Sikkim 7.161346e+03
## 39 Tamil Nadu 8.258674e+05
## 40 Telangana 5.938429e+05
## 41 Telengana 1.642973e+05
## 42 Tripura 2.855742e+04
## 43 Unassigned 5.366667e+01
## 44 Uttar Pradesh 5.943457e+05
## 45 Uttarakhand 1.031853e+05
## 46 West Bengal 5.138826e+05aggregate(covid$Confirmed ~ covid$State_UT, data = covid, FUN = median)## covid$State_UT covid$Confirmed
## 1 Andaman and Nicobar Islands 4720.5
## 2 Andhra Pradesh 864258.5
## 3 Arunachal Pradesh 16389.5
## 4 Assam 213583.5
## 5 Bihar 233845.5
## 6 Bihar**** 715454.5
## 7 Cases being reassigned to states 6623.0
## 8 Chandigarh 17246.0
## 9 Chhattisgarh 234725.0
## 10 Dadra and Nagar Haveli 10361.0
## 11 Dadra and Nagar Haveli and Daman and Diu 3363.0
## 12 Daman & Diu 2.0
## 13 Delhi 513934.0
## 14 Goa 48182.5
## 15 Gujarat 207496.0
## 16 Haryana 213688.0
## 17 Himachal Pradesh 39490.0
## 18 Himanchal Pradesh 204516.0
## 19 Jammu and Kashmir 106899.0
## 20 Jharkhand 110088.0
## 21 Karanataka 2885238.0
## 22 Karnataka 873800.5
## 23 Kerala 455388.0
## 24 Ladakh 7939.0
## 25 Lakshadweep 796.5
## 26 Madhya Pradesh 203988.0
## 27 Madhya Pradesh*** 791656.0
## 28 Maharashtra 1782284.5
## 29 Maharashtra*** 6229596.0
## 30 Manipur 25144.0
## 31 Meghalaya 12645.0
## 32 Mizoram 3869.0
## 33 Nagaland 11904.0
## 34 Odisha 316942.0
## 35 Puducherry 36879.0
## 36 Punjab 147057.0
## 37 Rajasthan 237669.0
## 38 Sikkim 5889.0
## 39 Tamil Nadu 769995.0
## 40 Telangana 613800.5
## 41 Telengana 192493.0
## 42 Tripura 32935.0
## 43 Unassigned 46.0
## 44 Uttar Pradesh 523105.5
## 45 Uttarakhand 72997.0
## 46 West Bengal 475716.5aggregate(covid$Confirmed ~ covid$State_UT, data = covid, FUN = max)## covid$State_UT covid$Confirmed
## 1 Andaman and Nicobar Islands 7548
## 2 Andhra Pradesh 1985182
## 3 Arunachal Pradesh 50605
## 4 Assam 576149
## 5 Bihar 725279
## 6 Bihar**** 715730
## 7 Cases being reassigned to states 9265
## 8 Chandigarh 61992
## 9 Chhattisgarh 1003356
## 10 Dadra and Nagar Haveli 10377
## 11 Dadra and Nagar Haveli and Daman and Diu 10654
## 12 Daman & Diu 2
## 13 Delhi 1436852
## 14 Goa 172085
## 15 Gujarat 825085
## 16 Haryana 770114
## 17 Himachal Pradesh 208616
## 18 Himanchal Pradesh 204516
## 19 Jammu and Kashmir 322771
## 20 Jharkhand 347440
## 21 Karanataka 2885238
## 22 Karnataka 2921049
## 23 Kerala 3586693
## 24 Ladakh 20411
## 25 Lakshadweep 10263
## 26 Madhya Pradesh 791980
## 27 Madhya Pradesh*** 791656
## 28 Maharashtra 6363442
## 29 Maharashtra*** 6229596
## 30 Manipur 105424
## 31 Meghalaya 69769
## 32 Mizoram 46320
## 33 Nagaland 28811
## 34 Odisha 988997
## 35 Puducherry 121766
## 36 Punjab 599573
## 37 Rajasthan 953851
## 38 Sikkim 28018
## 39 Tamil Nadu 2579130
## 40 Telangana 650353
## 41 Telengana 443360
## 42 Tripura 80660
## 43 Unassigned 77
## 44 Uttar Pradesh 1708812
## 45 Uttarakhand 342462
## 46 West Bengal 1534999aggregate(covid$Confirmed ~ covid$State_UT, data = covid, FUN = min)## covid$State_UT covid$Confirmed
## 1 Andaman and Nicobar Islands 1
## 2 Andhra Pradesh 1
## 3 Arunachal Pradesh 1
## 4 Assam 1
## 5 Bihar 2
## 6 Bihar**** 715179
## 7 Cases being reassigned to states 163
## 8 Chandigarh 1
## 9 Chhattisgarh 1
## 10 Dadra and Nagar Haveli 10345
## 11 Dadra and Nagar Haveli and Daman and Diu 1
## 12 Daman & Diu 2
## 13 Delhi 1
## 14 Goa 3
## 15 Gujarat 5
## 16 Haryana 2
## 17 Himachal Pradesh 2
## 18 Himanchal Pradesh 204516
## 19 Jammu and Kashmir 1
## 20 Jharkhand 1
## 21 Karanataka 2885238
## 22 Karnataka 1
## 23 Kerala 1
## 24 Ladakh 2
## 25 Lakshadweep 0
## 26 Madhya Pradesh 4
## 27 Madhya Pradesh*** 791656
## 28 Maharashtra 2
## 29 Maharashtra*** 6229596
## 30 Manipur 1
## 31 Meghalaya 1
## 32 Mizoram 1
## 33 Nagaland 0
## 34 Odisha 1
## 35 Puducherry 1
## 36 Punjab 1
## 37 Rajasthan 1
## 38 Sikkim 1
## 39 Tamil Nadu 1
## 40 Telangana 450790
## 41 Telengana 1
## 42 Tripura 1
## 43 Unassigned 38
## 44 Uttar Pradesh 6
## 45 Uttarakhand 1
## 46 West Bengal 1aggregate(vaccine$total_doses_administered ~ vaccine$State, data = vaccine, FUN = mean)## vaccine$State vaccine$total_doses_administered
## 1 Andaman and Nicobar Islands 96907.58
## 2 Andhra Pradesh 7507917.17
## 3 Arunachal Pradesh 287440.08
## 4 Assam 3379193.48
## 5 Bihar 8213648.34
## 6 Chandigarh 265551.13
## 7 Chhattisgarh 4566619.35
## 8 Dadra and Nagar Haveli and Daman and Diu 180139.05
## 9 Delhi 3814828.26
## 10 Goa 434856.33
## 11 Gujarat 12887096.16
## 12 Haryana 4313464.20
## 13 Himachal Pradesh 1840248.05
## 14 India 165197010.58
## 15 Jammu and Kashmir 2339874.66
## 16 Jharkhand 3423560.31
## 17 Karnataka 10851495.97
## 18 Kerala 7348555.78
## 19 Ladakh 109731.18
## 20 Lakshadweep 25566.51
## 21 Madhya Pradesh 9969516.74
## 22 Maharashtra 16496440.65
## 23 Manipur 373904.33
## 24 Meghalaya 352748.15
## 25 Mizoram 272978.75
## 26 Nagaland 243468.88
## 27 Odisha 6056301.71
## 28 Puducherry 235640.17
## 29 Punjab 3327677.25
## 30 Rajasthan 12701637.62
## 31 Sikkim 220304.57
## 32 Tamil Nadu 7449071.39
## 33 Telangana 5087139.58
## 34 Tripura 1216791.81
## 35 Uttar Pradesh 15768143.73
## 36 Uttarakhand 2185266.44
## 37 West Bengal 11238664.48aggregate(vaccine$total_doses_administered ~ vaccine$State, data = vaccine, FUN = median)## vaccine$State vaccine$total_doses_administered
## 1 Andaman and Nicobar Islands 98250.5
## 2 Andhra Pradesh 5832362.5
## 3 Arunachal Pradesh 213526.0
## 4 Assam 2062624.0
## 5 Bihar 6497492.0
## 6 Chandigarh 181453.5
## 7 Chhattisgarh 5384322.5
## 8 Dadra and Nagar Haveli and Daman and Diu 90929.0
## 9 Delhi 3003477.0
## 10 Goa 308509.0
## 11 Gujarat 11629346.5
## 12 Haryana 3567472.0
## 13 Himachal Pradesh 1570929.0
## 14 India 140855060.0
## 15 Jammu and Kashmir 2084425.5
## 16 Jharkhand 2991591.0
## 17 Karnataka 8782822.5
## 18 Kerala 6919096.5
## 19 Ladakh 98929.5
## 20 Lakshadweep 21547.5
## 21 Madhya Pradesh 7950124.0
## 22 Maharashtra 14624005.0
## 23 Manipur 187349.0
## 24 Meghalaya 217755.0
## 25 Mizoram 217308.5
## 26 Nagaland 175423.5
## 27 Odisha 5572682.5
## 28 Puducherry 183808.5
## 29 Punjab 3040338.5
## 30 Rajasthan 12444778.0
## 31 Sikkim 187924.0
## 32 Tamil Nadu 5417202.5
## 33 Telangana 4179222.0
## 34 Tripura 1043700.5
## 35 Uttar Pradesh 11865653.0
## 36 Uttarakhand 1894159.5
## 37 West Bengal 10099123.0aggregate(vaccine$total_doses_administered ~ vaccine$State, data = vaccine, FUN = max)## vaccine$State vaccine$total_doses_administered
## 1 Andaman and Nicobar Islands 310643
## 2 Andhra Pradesh 23842895
## 3 Arunachal Pradesh 879094
## 4 Assam 12703870
## 5 Bihar 27834939
## 6 Chandigarh 923819
## 7 Chhattisgarh 11769177
## 8 Dadra and Nagar Haveli and Daman and Diu 665221
## 9 Delhi 10836082
## 10 Goa 1396911
## 11 Gujarat 37152375
## 12 Haryana 13010381
## 13 Himachal Pradesh 5632441
## 14 India 513228400
## 15 Jammu and Kashmir 6808342
## 16 Jharkhand 10378294
## 17 Karnataka 33280543
## 18 Kerala 22097731
## 19 Ladakh 259036
## 20 Lakshadweep 68295
## 21 Madhya Pradesh 35456676
## 22 Maharashtra 47153366
## 23 Manipur 1406118
## 24 Meghalaya 1170554
## 25 Mizoram 861719
## 26 Nagaland 791508
## 27 Odisha 18154686
## 28 Puducherry 753362
## 29 Punjab 10291265
## 30 Rajasthan 35383662
## 31 Sikkim 649389
## 32 Tamil Nadu 25522708
## 33 Telangana 15614892
## 34 Tripura 3215294
## 35 Uttar Pradesh 54447724
## 36 Uttarakhand 6667116
## 37 West Bengal 32390378aggregate(vaccine$total_doses_administered ~ vaccine$State, data = vaccine, FUN = min)## vaccine$State vaccine$total_doses_administered
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 India 0
## 15 Jammu and Kashmir 0
## 16 Jharkhand 0
## 17 Karnataka 0
## 18 Kerala 0
## 19 Ladakh 0
## 20 Lakshadweep 0
## 21 Madhya Pradesh 0
## 22 Maharashtra 0
## 23 Manipur 0
## 24 Meghalaya 0
## 25 Mizoram 0
## 26 Nagaland 0
## 27 Odisha 0
## 28 Puducherry 0
## 29 Punjab 0
## 30 Rajasthan 0
## 31 Sikkim 0
## 32 Tamil Nadu 0
## 33 Telangana 0
## 34 Tripura 0
## 35 Uttar Pradesh 0
## 36 Uttarakhand 0
## 37 West Bengal 0aggregate(vaccine$Sessions ~ vaccine$State, data = vaccine, FUN = mean)## vaccine$State vaccine$Sessions
## 1 Andaman and Nicobar Islands 3449.943
## 2 Andhra Pradesh 332257.509
## 3 Arunachal Pradesh 13339.420
## 4 Assam 166383.458
## 5 Bihar 578829.307
## 6 Chandigarh 11103.448
## 7 Chhattisgarh 571875.835
## 8 Dadra and Nagar Haveli and Daman and Diu 13368.561
## 9 Delhi 103022.526
## 10 Goa 23418.693
## 11 Gujarat 445756.439
## 12 Haryana 197146.349
## 13 Himachal Pradesh 52070.212
## 14 India 8613846.057
## 15 Jammu and Kashmir 206860.939
## 16 Jharkhand 202359.104
## 17 Karnataka 1080743.019
## 18 Kerala 183075.877
## 19 Ladakh 3455.278
## 20 Lakshadweep 3747.670
## 21 Madhya Pradesh 422666.925
## 22 Maharashtra 653140.146
## 23 Manipur 24968.915
## 24 Meghalaya 40756.255
## 25 Mizoram 9486.873
## 26 Nagaland 15516.467
## 27 Odisha 169683.236
## 28 Puducherry 24127.401
## 29 Punjab 383229.061
## 30 Rajasthan 480892.368
## 31 Sikkim 7404.769
## 32 Tamil Nadu 469092.703
## 33 Telangana 221397.283
## 34 Tripura 95145.000
## 35 Uttar Pradesh 873899.255
## 36 Uttarakhand 87994.123
## 37 West Bengal 441626.377aggregate(vaccine$Sessions ~ vaccine$State, data = vaccine, FUN = median)## vaccine$State vaccine$Sessions
## 1 Andaman and Nicobar Islands 2082.5
## 2 Andhra Pradesh 224441.5
## 3 Arunachal Pradesh 12275.0
## 4 Assam 134549.0
## 5 Bihar 433175.5
## 6 Chandigarh 7725.0
## 7 Chhattisgarh 360592.0
## 8 Dadra and Nagar Haveli and Daman and Diu 6750.0
## 9 Delhi 91730.0
## 10 Goa 9060.0
## 11 Gujarat 449443.5
## 12 Haryana 172351.0
## 13 Himachal Pradesh 47117.0
## 14 India 8169477.5
## 15 Jammu and Kashmir 163550.0
## 16 Jharkhand 197782.0
## 17 Karnataka 691649.5
## 18 Kerala 129999.0
## 19 Ladakh 3070.5
## 20 Lakshadweep 1209.0
## 21 Madhya Pradesh 145606.0
## 22 Maharashtra 654042.5
## 23 Manipur 10175.0
## 24 Meghalaya 19965.0
## 25 Mizoram 4100.0
## 26 Nagaland 9675.0
## 27 Odisha 163681.5
## 28 Puducherry 10650.0
## 29 Punjab 358680.5
## 30 Rajasthan 509711.0
## 31 Sikkim 5210.0
## 32 Tamil Nadu 459926.0
## 33 Telangana 136737.5
## 34 Tripura 67010.5
## 35 Uttar Pradesh 863255.5
## 36 Uttarakhand 87537.5
## 37 West Bengal 449055.0aggregate(vaccine$Sessions ~ vaccine$State, data = vaccine, FUN = max)## vaccine$State vaccine$Sessions
## 1 Andaman and Nicobar Islands 19572
## 2 Andhra Pradesh 3368484
## 3 Arunachal Pradesh 54115
## 4 Assam 1164787
## 5 Bihar 3478224
## 6 Chandigarh 34042
## 7 Chhattisgarh 4229769
## 8 Dadra and Nagar Haveli and Daman and Diu 57072
## 9 Delhi 394933
## 10 Goa 80989
## 11 Gujarat 1212745
## 12 Haryana 1837372
## 13 Himachal Pradesh 264453
## 14 India 35010311
## 15 Jammu and Kashmir 694874
## 16 Jharkhand 917267
## 17 Karnataka 5771130
## 18 Kerala 1212779
## 19 Ladakh 23905
## 20 Lakshadweep 25653
## 21 Madhya Pradesh 5322694
## 22 Maharashtra 2183238
## 23 Manipur 142693
## 24 Meghalaya 166646
## 25 Mizoram 55796
## 26 Nagaland 59911
## 27 Odisha 657837
## 28 Puducherry 104315
## 29 Punjab 3730453
## 30 Rajasthan 2493230
## 31 Sikkim 30465
## 32 Tamil Nadu 1689629
## 33 Telangana 993023
## 34 Tripura 724868
## 35 Uttar Pradesh 8171330
## 36 Uttarakhand 375892
## 37 West Bengal 1225381aggregate(vaccine$Sessions ~ vaccine$State, data = vaccine, FUN = min)## vaccine$State vaccine$Sessions
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 India 0
## 15 Jammu and Kashmir 0
## 16 Jharkhand 0
## 17 Karnataka 0
## 18 Kerala 0
## 19 Ladakh 0
## 20 Lakshadweep 0
## 21 Madhya Pradesh 0
## 22 Maharashtra 0
## 23 Manipur 0
## 24 Meghalaya 0
## 25 Mizoram 0
## 26 Nagaland 0
## 27 Odisha 0
## 28 Puducherry 0
## 29 Punjab 0
## 30 Rajasthan 0
## 31 Sikkim 0
## 32 Tamil Nadu 0
## 33 Telangana 0
## 34 Tripura 0
## 35 Uttar Pradesh 0
## 36 Uttarakhand 0
## 37 West Bengal 0aggregate(vaccine$Sites ~ vaccine$State, data = vaccine, FUN = mean)## vaccine$State vaccine$Sites
## 1 Andaman and Nicobar Islands 20.39623
## 2 Andhra Pradesh 1679.36321
## 3 Arunachal Pradesh 109.76415
## 4 Assam 936.91981
## 5 Bihar 1797.65566
## 6 Chandigarh 47.68396
## 7 Chhattisgarh 1921.91509
## 8 Dadra and Nagar Haveli and Daman and Diu 52.18396
## 9 Delhi 586.49296
## 10 Goa 71.83962
## 11 Gujarat 3344.02358
## 12 Haryana 1029.09906
## 13 Himachal Pradesh 461.08962
## 14 India 41033.29717
## 15 Jammu and Kashmir 979.02358
## 16 Jharkhand 1046.41981
## 17 Karnataka 4681.19340
## 18 Kerala 973.80189
## 19 Ladakh 24.47170
## 20 Lakshadweep 10.73113
## 21 Madhya Pradesh 1955.29245
## 22 Maharashtra 3041.12264
## 23 Manipur 94.24057
## 24 Meghalaya 226.39623
## 25 Mizoram 59.12736
## 26 Nagaland 98.24528
## 27 Odisha 914.70755
## 28 Puducherry 44.64623
## 29 Punjab 1358.88679
## 30 Rajasthan 2577.47170
## 31 Sikkim 34.85849
## 32 Tamil Nadu 2382.93396
## 33 Telangana 1206.87264
## 34 Tripura 396.32075
## 35 Uttar Pradesh 4599.57547
## 36 Uttarakhand 456.54717
## 37 West Bengal 1807.56604aggregate(vaccine$Sites ~ vaccine$State, data = vaccine, FUN = median)## vaccine$State vaccine$Sites
## 1 Andaman and Nicobar Islands 16.0
## 2 Andhra Pradesh 1656.0
## 3 Arunachal Pradesh 109.5
## 4 Assam 886.0
## 5 Bihar 1831.5
## 6 Chandigarh 55.0
## 7 Chhattisgarh 1518.5
## 8 Dadra and Nagar Haveli and Daman and Diu 61.0
## 9 Delhi 591.0
## 10 Goa 64.0
## 11 Gujarat 2860.5
## 12 Haryana 1046.0
## 13 Himachal Pradesh 472.0
## 14 India 42691.5
## 15 Jammu and Kashmir 1087.0
## 16 Jharkhand 996.5
## 17 Karnataka 4913.0
## 18 Kerala 1059.0
## 19 Ladakh 21.0
## 20 Lakshadweep 10.0
## 21 Madhya Pradesh 1974.5
## 22 Maharashtra 3314.0
## 23 Manipur 96.0
## 24 Meghalaya 221.5
## 25 Mizoram 40.5
## 26 Nagaland 107.0
## 27 Odisha 1020.0
## 28 Puducherry 57.0
## 29 Punjab 1061.5
## 30 Rajasthan 2633.0
## 31 Sikkim 35.0
## 32 Tamil Nadu 1855.0
## 33 Telangana 1182.5
## 34 Tripura 343.5
## 35 Uttar Pradesh 5246.0
## 36 Uttarakhand 455.0
## 37 West Bengal 1836.5aggregate(vaccine$Sites ~ vaccine$State, data = vaccine, FUN = max)## vaccine$State vaccine$Sites
## 1 Andaman and Nicobar Islands 48
## 2 Andhra Pradesh 5022
## 3 Arunachal Pradesh 213
## 4 Assam 2395
## 5 Bihar 5104
## 6 Chandigarh 80
## 7 Chhattisgarh 4580
## 8 Dadra and Nagar Haveli and Daman and Diu 94
## 9 Delhi 1359
## 10 Goa 184
## 11 Gujarat 7218
## 12 Haryana 2345
## 13 Himachal Pradesh 1015
## 14 India 73933
## 15 Jammu and Kashmir 1738
## 16 Jharkhand 2839
## 17 Karnataka 8289
## 18 Kerala 1987
## 19 Ladakh 88
## 20 Lakshadweep 19
## 21 Madhya Pradesh 8152
## 22 Maharashtra 6287
## 23 Manipur 215
## 24 Meghalaya 509
## 25 Mizoram 279
## 26 Nagaland 204
## 27 Odisha 1696
## 28 Puducherry 66
## 29 Punjab 3783
## 30 Rajasthan 5807
## 31 Sikkim 89
## 32 Tamil Nadu 5384
## 33 Telangana 2992
## 34 Tripura 1045
## 35 Uttar Pradesh 12350
## 36 Uttarakhand 982
## 37 West Bengal 4350aggregate(vaccine$Sites ~ vaccine$State, data = vaccine, FUN = min)## vaccine$State vaccine$Sites
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 India 0
## 15 Jammu and Kashmir 0
## 16 Jharkhand 0
## 17 Karnataka 0
## 18 Kerala 0
## 19 Ladakh 0
## 20 Lakshadweep 0
## 21 Madhya Pradesh 0
## 22 Maharashtra 0
## 23 Manipur 0
## 24 Meghalaya 0
## 25 Mizoram 0
## 26 Nagaland 0
## 27 Odisha 0
## 28 Puducherry 0
## 29 Punjab 0
## 30 Rajasthan 0
## 31 Sikkim 0
## 32 Tamil Nadu 0
## 33 Telangana 0
## 34 Tripura 0
## 35 Uttar Pradesh 0
## 36 Uttarakhand 0
## 37 West Bengal 0aggregate(vaccine$first_dose_administered ~ vaccine$State, data = vaccine, FUN = mean)## vaccine$State vaccine$first_dose_administered
## 1 Andaman and Nicobar Islands 77480.44
## 2 Andhra Pradesh 5815381.34
## 3 Arunachal Pradesh 231155.57
## 4 Assam 2762265.22
## 5 Bihar 6936334.33
## 6 Chandigarh 210863.70
## 7 Chhattisgarh 3754730.67
## 8 Dadra and Nagar Haveli and Daman and Diu 158467.28
## 9 Delhi 2931171.23
## 10 Goa 358449.85
## 11 Gujarat 10054934.00
## 12 Haryana 3565086.57
## 13 Himachal Pradesh 1491952.85
## 14 India 133312003.73
## 15 Jammu and Kashmir 1934442.34
## 16 Jharkhand 2847517.58
## 17 Karnataka 8836462.11
## 18 Kerala 5631344.68
## 19 Ladakh 84005.89
## 20 Lakshadweep 20583.28
## 21 Madhya Pradesh 8474549.96
## 22 Maharashtra 13133794.01
## 23 Manipur 317969.66
## 24 Meghalaya 295358.37
## 25 Mizoram 225816.40
## 26 Nagaland 200050.78
## 27 Odisha 4870911.17
## 28 Puducherry 195032.35
## 29 Punjab 2756351.80
## 30 Rajasthan 10382283.90
## 31 Sikkim 174438.34
## 32 Tamil Nadu 6077983.55
## 33 Telangana 4152455.87
## 34 Tripura 908913.80
## 35 Uttar Pradesh 13152883.76
## 36 Uttarakhand 1713167.20
## 37 West Bengal 8473820.70aggregate(vaccine$first_dose_administered ~ vaccine$State, data = vaccine, FUN = median)## vaccine$State vaccine$first_dose_administered
## 1 Andaman and Nicobar Islands 88577.5
## 2 Andhra Pradesh 4654829.0
## 3 Arunachal Pradesh 165854.5
## 4 Assam 1634663.5
## 5 Bihar 5574843.0
## 6 Chandigarh 142550.0
## 7 Chhattisgarh 4759327.5
## 8 Dadra and Nagar Haveli and Daman and Diu 77139.5
## 9 Delhi 2425352.0
## 10 Goa 244866.5
## 11 Gujarat 9591991.5
## 12 Haryana 3077905.5
## 13 Himachal Pradesh 1379949.5
## 14 India 118840630.0
## 15 Jammu and Kashmir 1764744.5
## 16 Jharkhand 2566690.5
## 17 Karnataka 7563498.5
## 18 Kerala 5843225.5
## 19 Ladakh 72244.0
## 20 Lakshadweep 17690.5
## 21 Madhya Pradesh 6969071.0
## 22 Maharashtra 12586294.5
## 23 Manipur 130750.0
## 24 Meghalaya 164968.5
## 25 Mizoram 175985.5
## 26 Nagaland 139514.0
## 27 Odisha 4762500.0
## 28 Puducherry 162918.5
## 29 Punjab 2711376.5
## 30 Rajasthan 10448077.5
## 31 Sikkim 154817.5
## 32 Tamil Nadu 4414337.5
## 33 Telangana 3651899.0
## 34 Tripura 832435.0
## 35 Uttar Pradesh 9833611.0
## 36 Uttarakhand 1548002.5
## 37 West Bengal 8303521.5aggregate(vaccine$first_dose_administered ~ vaccine$State, data = vaccine, FUN = max)## vaccine$State vaccine$first_dose_administered
## 1 Andaman and Nicobar Islands 216046
## 2 Andhra Pradesh 17628583
## 3 Arunachal Pradesh 692475
## 4 Assam 10495293
## 5 Bihar 23350171
## 6 Chandigarh 700285
## 7 Chhattisgarh 9181482
## 8 Dadra and Nagar Haveli and Daman and Diu 584370
## 9 Delhi 7835546
## 10 Goa 1094392
## 11 Gujarat 28101222
## 12 Haryana 10086831
## 13 Himachal Pradesh 4249849
## 14 India 400150406
## 15 Jammu and Kashmir 5318516
## 16 Jharkhand 8382280
## 17 Karnataka 25847691
## 18 Kerala 15670747
## 19 Ladakh 188699
## 20 Lakshadweep 51156
## 21 Madhya Pradesh 29723036
## 22 Maharashtra 35040812
## 23 Manipur 1159424
## 24 Meghalaya 938572
## 25 Mizoram 654946
## 26 Nagaland 632120
## 27 Odisha 13954592
## 28 Puducherry 601591
## 29 Punjab 8005636
## 30 Rajasthan 27008606
## 31 Sikkim 497851
## 32 Tamil Nadu 20836674
## 33 Telangana 11649268
## 34 Tripura 2411195
## 35 Uttar Pradesh 45932488
## 36 Uttarakhand 5070544
## 37 West Bengal 23257417aggregate(vaccine$first_dose_administered ~ vaccine$State, data = vaccine, FUN = min)## vaccine$State vaccine$first_dose_administered
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 India 0
## 15 Jammu and Kashmir 0
## 16 Jharkhand 0
## 17 Karnataka 0
## 18 Kerala 0
## 19 Ladakh 0
## 20 Lakshadweep 0
## 21 Madhya Pradesh 0
## 22 Maharashtra 0
## 23 Manipur 0
## 24 Meghalaya 0
## 25 Mizoram 0
## 26 Nagaland 0
## 27 Odisha 0
## 28 Puducherry 0
## 29 Punjab 0
## 30 Rajasthan 0
## 31 Sikkim 0
## 32 Tamil Nadu 0
## 33 Telangana 0
## 34 Tripura 0
## 35 Uttar Pradesh 0
## 36 Uttarakhand 0
## 37 West Bengal 0aggregate(vaccine$second_dose_administered ~ vaccine$State, data = vaccine, FUN = mean)## vaccine$State vaccine$second_dose_administered
## 1 Andaman and Nicobar Islands 19427.142
## 2 Andhra Pradesh 1692535.825
## 3 Arunachal Pradesh 56284.514
## 4 Assam 616928.264
## 5 Bihar 1277314.014
## 6 Chandigarh 54687.429
## 7 Chhattisgarh 811888.679
## 8 Dadra and Nagar Haveli and Daman and Diu 21671.774
## 9 Delhi 883657.023
## 10 Goa 76406.481
## 11 Gujarat 2832162.151
## 12 Haryana 748377.632
## 13 Himachal Pradesh 348295.198
## 14 India 31885006.844
## 15 Jammu and Kashmir 405432.316
## 16 Jharkhand 576042.736
## 17 Karnataka 2015033.858
## 18 Kerala 1717211.099
## 19 Ladakh 25725.292
## 20 Lakshadweep 4983.236
## 21 Madhya Pradesh 1494966.778
## 22 Maharashtra 3362646.632
## 23 Manipur 55934.670
## 24 Meghalaya 57389.778
## 25 Mizoram 47162.349
## 26 Nagaland 43418.099
## 27 Odisha 1185390.538
## 28 Puducherry 40607.825
## 29 Punjab 571325.448
## 30 Rajasthan 2319353.717
## 31 Sikkim 45866.226
## 32 Tamil Nadu 1371087.840
## 33 Telangana 934683.708
## 34 Tripura 307878.009
## 35 Uttar Pradesh 2615259.962
## 36 Uttarakhand 472099.245
## 37 West Bengal 2764843.774aggregate(vaccine$second_dose_administered ~ vaccine$State, data = vaccine, FUN = median)## vaccine$State vaccine$second_dose_administered
## 1 Andaman and Nicobar Islands 9673.0
## 2 Andhra Pradesh 1177533.5
## 3 Arunachal Pradesh 47671.5
## 4 Assam 427960.5
## 5 Bihar 922649.0
## 6 Chandigarh 38903.5
## 7 Chhattisgarh 624995.0
## 8 Dadra and Nagar Haveli and Daman and Diu 13789.5
## 9 Delhi 578125.0
## 10 Goa 63642.5
## 11 Gujarat 2037355.0
## 12 Haryana 489566.5
## 13 Himachal Pradesh 190979.5
## 14 India 22014430.0
## 15 Jammu and Kashmir 319681.0
## 16 Jharkhand 424900.5
## 17 Karnataka 1219324.0
## 18 Kerala 1075871.0
## 19 Ladakh 26685.5
## 20 Lakshadweep 3857.0
## 21 Madhya Pradesh 981053.0
## 22 Maharashtra 2037710.5
## 23 Manipur 56599.0
## 24 Meghalaya 52786.5
## 25 Mizoram 41323.0
## 26 Nagaland 35909.5
## 27 Odisha 810182.5
## 28 Puducherry 20890.0
## 29 Punjab 328962.0
## 30 Rajasthan 1996700.5
## 31 Sikkim 33106.5
## 32 Tamil Nadu 1002865.0
## 33 Telangana 527323.0
## 34 Tripura 211265.5
## 35 Uttar Pradesh 2032042.0
## 36 Uttarakhand 346157.0
## 37 West Bengal 1795601.5aggregate(vaccine$second_dose_administered ~ vaccine$State, data = vaccine, FUN = max)## vaccine$State vaccine$second_dose_administered
## 1 Andaman and Nicobar Islands 94597
## 2 Andhra Pradesh 6214312
## 3 Arunachal Pradesh 186619
## 4 Assam 2208577
## 5 Bihar 4484768
## 6 Chandigarh 223534
## 7 Chhattisgarh 2587695
## 8 Dadra and Nagar Haveli and Daman and Diu 80851
## 9 Delhi 3000536
## 10 Goa 302519
## 11 Gujarat 9051153
## 12 Haryana 2923550
## 13 Himachal Pradesh 1382592
## 14 India 113077994
## 15 Jammu and Kashmir 1489826
## 16 Jharkhand 1996014
## 17 Karnataka 7432852
## 18 Kerala 6426984
## 19 Ladakh 70337
## 20 Lakshadweep 17139
## 21 Madhya Pradesh 5733640
## 22 Maharashtra 12112554
## 23 Manipur 246694
## 24 Meghalaya 231982
## 25 Mizoram 206773
## 26 Nagaland 159388
## 27 Odisha 4200094
## 28 Puducherry 151771
## 29 Punjab 2285629
## 30 Rajasthan 8375056
## 31 Sikkim 151538
## 32 Tamil Nadu 4686034
## 33 Telangana 3965624
## 34 Tripura 804099
## 35 Uttar Pradesh 8515236
## 36 Uttarakhand 1596572
## 37 West Bengal 9132961aggregate(vaccine$second_dose_administered ~ vaccine$State, data = vaccine, FUN = min)## vaccine$State vaccine$second_dose_administered
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 India 0
## 15 Jammu and Kashmir 0
## 16 Jharkhand 0
## 17 Karnataka 0
## 18 Kerala 0
## 19 Ladakh 0
## 20 Lakshadweep 0
## 21 Madhya Pradesh 0
## 22 Maharashtra 0
## 23 Manipur 0
## 24 Meghalaya 0
## 25 Mizoram 0
## 26 Nagaland 0
## 27 Odisha 0
## 28 Puducherry 0
## 29 Punjab 0
## 30 Rajasthan 0
## 31 Sikkim 0
## 32 Tamil Nadu 0
## 33 Telangana 0
## 34 Tripura 0
## 35 Uttar Pradesh 0
## 36 Uttarakhand 0
## 37 West Bengal 0aggregate(vaccine$male_doses_administered ~ vaccine$State, data = vaccine, FUN = mean)## vaccine$State vaccine$male_doses_administered
## 1 Andaman and Nicobar Islands 49310.14
## 2 Andhra Pradesh 3196553.64
## 3 Arunachal Pradesh 144414.14
## 4 Assam 1678273.03
## 5 Bihar 4100918.09
## 6 Chandigarh 137772.68
## 7 Chhattisgarh 2066816.37
## 8 Dadra and Nagar Haveli and Daman and Diu 112210.33
## 9 Delhi 1990175.80
## 10 Goa 211544.18
## 11 Gujarat 6257937.77
## 12 Haryana 2186528.76
## 13 Himachal Pradesh 841142.80
## 14 India 46874049.30
## 15 Jammu and Kashmir 1279532.08
## 16 Jharkhand 1711204.84
## 17 Karnataka 5005504.09
## 18 Kerala 3145468.02
## 19 Ladakh 53913.25
## 20 Lakshadweep 13028.52
## 21 Madhya Pradesh 5136054.27
## 22 Maharashtra 8151306.84
## 23 Manipur 194718.91
## 24 Meghalaya 170981.24
## 25 Mizoram 129214.90
## 26 Nagaland 130952.56
## 27 Odisha 2949453.78
## 28 Puducherry 110769.69
## 29 Punjab 1748347.25
## 30 Rajasthan 6119214.34
## 31 Sikkim 108874.63
## 32 Tamil Nadu 3583008.50
## 33 Telangana 2446125.64
## 34 Tripura 547630.39
## 35 Uttar Pradesh 8289859.15
## 36 Uttarakhand 1014800.35
## 37 West Bengal 5508587.00aggregate(vaccine$male_doses_administered ~ vaccine$State, data = vaccine, FUN = median)## vaccine$State vaccine$male_doses_administered
## 1 Andaman and Nicobar Islands 48103.5
## 2 Andhra Pradesh 2370347.5
## 3 Arunachal Pradesh 93317.0
## 4 Assam 901667.0
## 5 Bihar 2846381.0
## 6 Chandigarh 82969.0
## 7 Chhattisgarh 2314476.5
## 8 Dadra and Nagar Haveli and Daman and Diu 46006.0
## 9 Delhi 1411612.0
## 10 Goa 122973.5
## 11 Gujarat 5083901.5
## 12 Haryana 1584458.0
## 13 Himachal Pradesh 667359.5
## 14 India 0.0
## 15 Jammu and Kashmir 1054943.5
## 16 Jharkhand 1313247.5
## 17 Karnataka 3591711.0
## 18 Kerala 2641944.5
## 19 Ladakh 38969.5
## 20 Lakshadweep 10089.0
## 21 Madhya Pradesh 3723771.5
## 22 Maharashtra 6782319.0
## 23 Manipur 85683.0
## 24 Meghalaya 83956.0
## 25 Mizoram 88670.5
## 26 Nagaland 83778.5
## 27 Odisha 2476687.5
## 28 Puducherry 82254.5
## 29 Punjab 1537643.5
## 30 Rajasthan 5277471.5
## 31 Sikkim 83182.5
## 32 Tamil Nadu 2286031.5
## 33 Telangana 1870463.0
## 34 Tripura 430930.0
## 35 Uttar Pradesh 5531066.5
## 36 Uttarakhand 777778.0
## 37 West Bengal 4454961.0aggregate(vaccine$male_doses_administered ~ vaccine$State, data = vaccine, FUN = max)## vaccine$State vaccine$male_doses_administered
## 1 Andaman and Nicobar Islands 165554
## 2 Andhra Pradesh 10852932
## 3 Arunachal Pradesh 486874
## 4 Assam 6739027
## 5 Bihar 14926420
## 6 Chandigarh 524263
## 7 Chhattisgarh 5916437
## 8 Dadra and Nagar Haveli and Daman and Diu 444656
## 9 Delhi 6228216
## 10 Goa 748770
## 11 Gujarat 20266401
## 12 Haryana 7206601
## 13 Himachal Pradesh 2772475
## 14 India 270163622
## 15 Jammu and Kashmir 3919555
## 16 Jharkhand 5699723
## 17 Karnataka 16724770
## 18 Kerala 10623457
## 19 Ladakh 146068
## 20 Lakshadweep 37277
## 21 Madhya Pradesh 19265405
## 22 Maharashtra 25563569
## 23 Manipur 759282
## 24 Meghalaya 618575
## 25 Mizoram 433324
## 26 Nagaland 451752
## 27 Odisha 9617376
## 28 Puducherry 367047
## 29 Punjab 5734736
## 30 Rajasthan 18618674
## 31 Sikkim 354056
## 32 Tamil Nadu 12952604
## 33 Telangana 8068394
## 34 Tripura 1646249
## 35 Uttar Pradesh 30643444
## 36 Uttarakhand 3405375
## 37 West Bengal 17234284aggregate(vaccine$male_doses_administered ~ vaccine$State, data = vaccine, FUN = min)## vaccine$State vaccine$male_doses_administered
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 India 0
## 15 Jammu and Kashmir 0
## 16 Jharkhand 0
## 17 Karnataka 0
## 18 Kerala 0
## 19 Ladakh 0
## 20 Lakshadweep 0
## 21 Madhya Pradesh 0
## 22 Maharashtra 0
## 23 Manipur 0
## 24 Meghalaya 0
## 25 Mizoram 0
## 26 Nagaland 0
## 27 Odisha 0
## 28 Puducherry 0
## 29 Punjab 0
## 30 Rajasthan 0
## 31 Sikkim 0
## 32 Tamil Nadu 0
## 33 Telangana 0
## 34 Tripura 0
## 35 Uttar Pradesh 0
## 36 Uttarakhand 0
## 37 West Bengal 0aggregate(vaccine$female_doses_administered ~ vaccine$State, data = vaccine, FUN = mean)## vaccine$State vaccine$female_doses_administered
## 1 Andaman and Nicobar Islands 42287.61
## 2 Andhra Pradesh 3561574.81
## 3 Arunachal Pradesh 116207.25
## 4 Assam 1431656.92
## 5 Bihar 3524596.62
## 6 Chandigarh 104562.72
## 7 Chhattisgarh 2126261.15
## 8 Dadra and Nagar Haveli and Daman and Diu 59614.67
## 9 Delhi 1432639.31
## 10 Goa 191544.16
## 11 Gujarat 5318556.68
## 12 Haryana 1820611.11
## 13 Himachal Pradesh 863586.28
## 14 India 40851024.15
## 15 Jammu and Kashmir 876192.74
## 16 Jharkhand 1459682.09
## 17 Karnataka 4995388.73
## 18 Kerala 3528619.87
## 19 Ladakh 43580.99
## 20 Lakshadweep 10280.32
## 21 Madhya Pradesh 4225868.21
## 22 Maharashtra 6935100.61
## 23 Manipur 152298.10
## 24 Meghalaya 154493.63
## 25 Mizoram 125010.23
## 26 Nagaland 93312.63
## 27 Odisha 2605616.58
## 28 Puducherry 109520.02
## 29 Punjab 1348600.09
## 30 Rajasthan 5523655.89
## 31 Sikkim 92212.11
## 32 Tamil Nadu 3246821.51
## 33 Telangana 2261980.26
## 34 Tripura 513403.52
## 35 Uttar Pradesh 6272315.58
## 36 Uttarakhand 952969.53
## 37 West Bengal 4528927.98aggregate(vaccine$female_doses_administered ~ vaccine$State, data = vaccine, FUN = median)## vaccine$State vaccine$female_doses_administered
## 1 Andaman and Nicobar Islands 40466.0
## 2 Andhra Pradesh 2283932.0
## 3 Arunachal Pradesh 72466.0
## 4 Assam 732796.5
## 5 Bihar 2727792.5
## 6 Chandigarh 59574.0
## 7 Chhattisgarh 2444345.5
## 8 Dadra and Nagar Haveli and Daman and Diu 31130.5
## 9 Delhi 1013331.0
## 10 Goa 121875.0
## 11 Gujarat 4506953.5
## 12 Haryana 1493040.0
## 13 Himachal Pradesh 712381.5
## 14 India 0.0
## 15 Jammu and Kashmir 709500.5
## 16 Jharkhand 1253197.0
## 17 Karnataka 3970821.5
## 18 Kerala 3200574.5
## 19 Ladakh 33269.5
## 20 Lakshadweep 7598.5
## 21 Madhya Pradesh 3244468.5
## 22 Maharashtra 5802412.0
## 23 Manipur 45061.5
## 24 Meghalaya 80998.0
## 25 Mizoram 87308.0
## 26 Nagaland 55726.5
## 27 Odisha 2285131.0
## 28 Puducherry 80642.5
## 29 Punjab 1173447.5
## 30 Rajasthan 5169195.5
## 31 Sikkim 71614.0
## 32 Tamil Nadu 2127824.5
## 33 Telangana 1780717.5
## 34 Tripura 401402.5
## 35 Uttar Pradesh 4300966.0
## 36 Uttarakhand 769994.0
## 37 West Bengal 3847616.5aggregate(vaccine$female_doses_administered ~ vaccine$State, data = vaccine, FUN = max)## vaccine$State vaccine$female_doses_administered
## 1 Andaman and Nicobar Islands 145049
## 2 Andhra Pradesh 12986129
## 3 Arunachal Pradesh 391993
## 4 Assam 5962985
## 5 Bihar 12902990
## 6 Chandigarh 399424
## 7 Chhattisgarh 5851349
## 8 Dadra and Nagar Haveli and Daman and Diu 220429
## 9 Delhi 4605508
## 10 Goa 648014
## 11 Gujarat 16880326
## 12 Haryana 5801370
## 13 Himachal Pradesh 2858812
## 14 India 239518609
## 15 Jammu and Kashmir 2887608
## 16 Jharkhand 4676520
## 17 Karnataka 16550206
## 18 Kerala 11470142
## 19 Ladakh 112942
## 20 Lakshadweep 31013
## 21 Madhya Pradesh 16184296
## 22 Maharashtra 21582082
## 23 Manipur 646498
## 24 Meghalaya 551829
## 25 Mizoram 428257
## 26 Nagaland 339640
## 27 Odisha 8533720
## 28 Puducherry 386171
## 29 Punjab 4555264
## 30 Rajasthan 16758710
## 31 Sikkim 295116
## 32 Tamil Nadu 12565628
## 33 Telangana 7543612
## 34 Tripura 1568576
## 35 Uttar Pradesh 23785865
## 36 Uttarakhand 3259384
## 37 West Bengal 15151152aggregate(vaccine$female_doses_administered ~ vaccine$State, data = vaccine, FUN = min)## vaccine$State vaccine$female_doses_administered
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 India 0
## 15 Jammu and Kashmir 0
## 16 Jharkhand 0
## 17 Karnataka 0
## 18 Kerala 0
## 19 Ladakh 0
## 20 Lakshadweep 0
## 21 Madhya Pradesh 0
## 22 Maharashtra 0
## 23 Manipur 0
## 24 Meghalaya 0
## 25 Mizoram 0
## 26 Nagaland 0
## 27 Odisha 0
## 28 Puducherry 0
## 29 Punjab 0
## 30 Rajasthan 0
## 31 Sikkim 0
## 32 Tamil Nadu 0
## 33 Telangana 0
## 34 Tripura 0
## 35 Uttar Pradesh 0
## 36 Uttarakhand 0
## 37 West Bengal 0aggregate(vaccine$transgender_doses_administered ~ vaccine$State, data = vaccine, FUN = mean)## vaccine$State
## 1 Andaman and Nicobar Islands
## 2 Andhra Pradesh
## 3 Arunachal Pradesh
## 4 Assam
## 5 Bihar
## 6 Chandigarh
## 7 Chhattisgarh
## 8 Dadra and Nagar Haveli and Daman and Diu
## 9 Delhi
## 10 Goa
## 11 Gujarat
## 12 Haryana
## 13 Himachal Pradesh
## 14 India
## 15 Jammu and Kashmir
## 16 Jharkhand
## 17 Karnataka
## 18 Kerala
## 19 Ladakh
## 20 Lakshadweep
## 21 Madhya Pradesh
## 22 Maharashtra
## 23 Manipur
## 24 Meghalaya
## 25 Mizoram
## 26 Nagaland
## 27 Odisha
## 28 Puducherry
## 29 Punjab
## 30 Rajasthan
## 31 Sikkim
## 32 Tamil Nadu
## 33 Telangana
## 34 Tripura
## 35 Uttar Pradesh
## 36 Uttarakhand
## 37 West Bengal
## vaccine$transgender_doses_administered
## 1 9.084906
## 2 1003.820755
## 3 81.816038
## 4 457.400943
## 5 1396.952830
## 6 31.127358
## 7 455.844340
## 8 31.891509
## 9 697.230047
## 10 34.169811
## 11 1595.226415
## 12 682.099057
## 13 313.533019
## 14 15799.674528
## 15 390.976415
## 16 499.292453
## 17 1581.768868
## 18 1023.665094
## 19 9.632075
## 20 1.872642
## 21 1555.863208
## 22 2198.127358
## 23 76.716981
## 24 37.919811
## 25 32.650943
## 26 26.613208
## 27 958.660377
## 28 38.132075
## 29 345.584906
## 30 1839.712264
## 31 54.669811
## 32 987.419811
## 33 884.905660
## 34 144.316038
## 35 3760.537736
## 36 506.014151
## 37 1380.933962aggregate(vaccine$transgender_doses_administered ~ vaccine$State, data = vaccine, FUN = median)## vaccine$State
## 1 Andaman and Nicobar Islands
## 2 Andhra Pradesh
## 3 Arunachal Pradesh
## 4 Assam
## 5 Bihar
## 6 Chandigarh
## 7 Chhattisgarh
## 8 Dadra and Nagar Haveli and Daman and Diu
## 9 Delhi
## 10 Goa
## 11 Gujarat
## 12 Haryana
## 13 Himachal Pradesh
## 14 India
## 15 Jammu and Kashmir
## 16 Jharkhand
## 17 Karnataka
## 18 Kerala
## 19 Ladakh
## 20 Lakshadweep
## 21 Madhya Pradesh
## 22 Maharashtra
## 23 Manipur
## 24 Meghalaya
## 25 Mizoram
## 26 Nagaland
## 27 Odisha
## 28 Puducherry
## 29 Punjab
## 30 Rajasthan
## 31 Sikkim
## 32 Tamil Nadu
## 33 Telangana
## 34 Tripura
## 35 Uttar Pradesh
## 36 Uttarakhand
## 37 West Bengal
## vaccine$transgender_doses_administered
## 1 8.0
## 2 549.5
## 3 71.5
## 4 200.0
## 5 669.5
## 6 7.0
## 7 505.5
## 8 3.0
## 9 409.0
## 10 18.0
## 11 1136.5
## 12 407.5
## 13 208.5
## 14 0.0
## 15 300.5
## 16 246.0
## 17 966.0
## 18 706.5
## 19 5.0
## 20 2.0
## 21 831.0
## 22 1563.5
## 23 5.5
## 24 14.5
## 25 7.0
## 26 9.0
## 27 681.5
## 28 21.5
## 29 285.5
## 30 1410.5
## 31 21.0
## 32 481.5
## 33 718.5
## 34 102.5
## 35 1578.5
## 36 230.5
## 37 944.0aggregate(vaccine$transgender_doses_administered ~ vaccine$State, data = vaccine, FUN = max)## vaccine$State
## 1 Andaman and Nicobar Islands
## 2 Andhra Pradesh
## 3 Arunachal Pradesh
## 4 Assam
## 5 Bihar
## 6 Chandigarh
## 7 Chhattisgarh
## 8 Dadra and Nagar Haveli and Daman and Diu
## 9 Delhi
## 10 Goa
## 11 Gujarat
## 12 Haryana
## 13 Himachal Pradesh
## 14 India
## 15 Jammu and Kashmir
## 16 Jharkhand
## 17 Karnataka
## 18 Kerala
## 19 Ladakh
## 20 Lakshadweep
## 21 Madhya Pradesh
## 22 Maharashtra
## 23 Manipur
## 24 Meghalaya
## 25 Mizoram
## 26 Nagaland
## 27 Odisha
## 28 Puducherry
## 29 Punjab
## 30 Rajasthan
## 31 Sikkim
## 32 Tamil Nadu
## 33 Telangana
## 34 Tripura
## 35 Uttar Pradesh
## 36 Uttarakhand
## 37 West Bengal
## vaccine$transgender_doses_administered
## 1 40
## 2 3834
## 3 227
## 4 1858
## 5 5529
## 6 132
## 7 1391
## 8 136
## 9 2358
## 10 127
## 11 5648
## 12 2410
## 13 1154
## 14 98275
## 15 1179
## 16 2051
## 17 5567
## 18 4132
## 19 26
## 20 5
## 21 6975
## 22 7715
## 23 338
## 24 150
## 25 138
## 26 116
## 27 3590
## 28 144
## 29 1265
## 30 6278
## 31 219
## 32 4476
## 33 2886
## 34 469
## 35 18415
## 36 2357
## 37 4942aggregate(vaccine$transgender_doses_administered ~ vaccine$State, data = vaccine, FUN = min)## vaccine$State
## 1 Andaman and Nicobar Islands
## 2 Andhra Pradesh
## 3 Arunachal Pradesh
## 4 Assam
## 5 Bihar
## 6 Chandigarh
## 7 Chhattisgarh
## 8 Dadra and Nagar Haveli and Daman and Diu
## 9 Delhi
## 10 Goa
## 11 Gujarat
## 12 Haryana
## 13 Himachal Pradesh
## 14 India
## 15 Jammu and Kashmir
## 16 Jharkhand
## 17 Karnataka
## 18 Kerala
## 19 Ladakh
## 20 Lakshadweep
## 21 Madhya Pradesh
## 22 Maharashtra
## 23 Manipur
## 24 Meghalaya
## 25 Mizoram
## 26 Nagaland
## 27 Odisha
## 28 Puducherry
## 29 Punjab
## 30 Rajasthan
## 31 Sikkim
## 32 Tamil Nadu
## 33 Telangana
## 34 Tripura
## 35 Uttar Pradesh
## 36 Uttarakhand
## 37 West Bengal
## vaccine$transgender_doses_administered
## 1 0
## 2 0
## 3 0
## 4 0
## 5 0
## 6 0
## 7 0
## 8 0
## 9 0
## 10 0
## 11 0
## 12 0
## 13 0
## 14 0
## 15 0
## 16 0
## 17 0
## 18 0
## 19 0
## 20 0
## 21 0
## 22 0
## 23 0
## 24 0
## 25 0
## 26 0
## 27 0
## 28 0
## 29 0
## 30 0
## 31 0
## 32 0
## 33 0
## 34 0
## 35 0
## 36 0
## 37 0aggregate(vaccine$covaxin_doses ~ vaccine$State, data = vaccine, FUN = mean)## vaccine$State vaccine$covaxin_doses
## 1 Andaman and Nicobar Islands 0.000000e+00
## 2 Andhra Pradesh 1.243846e+06
## 3 Arunachal Pradesh 8.584906e+00
## 4 Assam 5.600014e+05
## 5 Bihar 7.396581e+05
## 6 Chandigarh 5.550849e+02
## 7 Chhattisgarh 2.703281e+05
## 8 Dadra and Nagar Haveli and Daman and Diu 5.056604e+00
## 9 Delhi 1.026723e+06
## 10 Goa 6.932571e+03
## 11 Gujarat 1.451750e+06
## 12 Haryana 6.109501e+05
## 13 Himachal Pradesh 5.009245e+02
## 14 India 1.877818e+07
## 15 Jammu and Kashmir 5.042002e+04
## 16 Jharkhand 4.799745e+05
## 17 Karnataka 1.228076e+06
## 18 Kerala 5.712737e+05
## 19 Ladakh 4.292453e+00
## 20 Lakshadweep 3.537736e-01
## 21 Madhya Pradesh 1.146085e+06
## 22 Maharashtra 1.922083e+06
## 23 Manipur 3.504717e+00
## 24 Meghalaya 1.073113e+01
## 25 Mizoram 6.462264e-01
## 26 Nagaland 1.762264e+01
## 27 Odisha 6.823865e+05
## 28 Puducherry 4.869811e+01
## 29 Punjab 3.449243e+05
## 30 Rajasthan 1.164195e+06
## 31 Sikkim 1.527830e+01
## 32 Tamil Nadu 1.133399e+06
## 33 Telangana 9.024789e+05
## 34 Tripura 1.381532e+04
## 35 Uttar Pradesh 1.799253e+06
## 36 Uttarakhand 1.032982e+05
## 37 West Bengal 1.317846e+06aggregate(vaccine$covaxin_doses ~ vaccine$State, data = vaccine, FUN = median)## vaccine$State vaccine$covaxin_doses
## 1 Andaman and Nicobar Islands 0.0
## 2 Andhra Pradesh 1037189.0
## 3 Arunachal Pradesh 0.0
## 4 Assam 395308.0
## 5 Bihar 355469.5
## 6 Chandigarh 0.0
## 7 Chhattisgarh 81565.0
## 8 Dadra and Nagar Haveli and Daman and Diu 0.0
## 9 Delhi 904993.0
## 10 Goa 1.0
## 11 Gujarat 1125384.0
## 12 Haryana 427399.5
## 13 Himachal Pradesh 2.0
## 14 India 12996933.5
## 15 Jammu and Kashmir 1183.5
## 16 Jharkhand 261047.0
## 17 Karnataka 871805.5
## 18 Kerala 347029.0
## 19 Ladakh 0.0
## 20 Lakshadweep 0.0
## 21 Madhya Pradesh 718029.5
## 22 Maharashtra 1639571.0
## 23 Manipur 0.0
## 24 Meghalaya 0.0
## 25 Mizoram 0.0
## 26 Nagaland 0.0
## 27 Odisha 368693.0
## 28 Puducherry 74.0
## 29 Punjab 274441.5
## 30 Rajasthan 590800.0
## 31 Sikkim 0.0
## 32 Tamil Nadu 772214.0
## 33 Telangana 586086.5
## 34 Tripura 46.0
## 35 Uttar Pradesh 1124537.5
## 36 Uttarakhand 1026.0
## 37 West Bengal 1087664.5aggregate(vaccine$covaxin_doses ~ vaccine$State, data = vaccine, FUN = max)## vaccine$State vaccine$covaxin_doses
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 3804590
## 3 Arunachal Pradesh 141
## 4 Assam 1612196
## 5 Bihar 3006086
## 6 Chandigarh 4156
## 7 Chhattisgarh 1326528
## 8 Dadra and Nagar Haveli and Daman and Diu 47
## 9 Delhi 2577768
## 10 Goa 27133
## 11 Gujarat 3925697
## 12 Haryana 1889662
## 13 Himachal Pradesh 3167
## 14 India 62367416
## 15 Jammu and Kashmir 240952
## 16 Jharkhand 1710094
## 17 Karnataka 4271997
## 18 Kerala 2043075
## 19 Ladakh 41
## 20 Lakshadweep 7
## 21 Madhya Pradesh 3714555
## 22 Maharashtra 6005390
## 23 Manipur 53
## 24 Meghalaya 158
## 25 Mizoram 13
## 26 Nagaland 351
## 27 Odisha 2447439
## 28 Puducherry 74
## 29 Punjab 1400787
## 30 Rajasthan 4419700
## 31 Sikkim 208
## 32 Tamil Nadu 3851723
## 33 Telangana 3178414
## 34 Tripura 64492
## 35 Uttar Pradesh 6171089
## 36 Uttarakhand 502376
## 37 West Bengal 4168230aggregate(vaccine$covaxin_doses ~ vaccine$State, data = vaccine, FUN = min)## vaccine$State vaccine$covaxin_doses
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 India 0
## 15 Jammu and Kashmir 0
## 16 Jharkhand 0
## 17 Karnataka 0
## 18 Kerala 0
## 19 Ladakh 0
## 20 Lakshadweep 0
## 21 Madhya Pradesh 0
## 22 Maharashtra 0
## 23 Manipur 0
## 24 Meghalaya 0
## 25 Mizoram 0
## 26 Nagaland 0
## 27 Odisha 0
## 28 Puducherry 0
## 29 Punjab 0
## 30 Rajasthan 0
## 31 Sikkim 0
## 32 Tamil Nadu 0
## 33 Telangana 0
## 34 Tripura 0
## 35 Uttar Pradesh 0
## 36 Uttarakhand 0
## 37 West Bengal 0aggregate(vaccine$covishield_doses ~ vaccine$State, data = vaccine, FUN = mean)## vaccine$State vaccine$covishield_doses
## 1 Andaman and Nicobar Islands 96752.02
## 2 Andhra Pradesh 6245222.22
## 3 Arunachal Pradesh 286794.91
## 4 Assam 2816425.87
## 5 Bihar 7465093.65
## 6 Chandigarh 264836.33
## 7 Chhattisgarh 4290350.26
## 8 Dadra and Nagar Haveli and Daman and Diu 180060.45
## 9 Delhi 2779666.06
## 10 Goa 427618.19
## 11 Gujarat 11418826.24
## 12 Haryana 3692990.67
## 13 Himachal Pradesh 1836900.51
## 14 India 146080604.56
## 15 Jammu and Kashmir 2288089.36
## 16 Jharkhand 2940316.53
## 17 Karnataka 9600130.00
## 18 Kerala 6765084.58
## 19 Ladakh 109626.23
## 20 Lakshadweep 25556.37
## 21 Madhya Pradesh 8810700.18
## 22 Maharashtra 14551545.27
## 23 Manipur 373663.38
## 24 Meghalaya 352417.69
## 25 Mizoram 272461.27
## 26 Nagaland 242818.42
## 27 Odisha 5362491.53
## 28 Puducherry 235469.33
## 29 Punjab 2979266.17
## 30 Rajasthan 11519651.87
## 31 Sikkim 220112.12
## 32 Tamil Nadu 6308721.27
## 33 Telangana 4156534.75
## 34 Tripura 1201137.72
## 35 Uttar Pradesh 13939615.84
## 36 Uttarakhand 2079616.57
## 37 West Bengal 9903964.45aggregate(vaccine$covishield_doses ~ vaccine$State, data = vaccine, FUN = median)## vaccine$State vaccine$covishield_doses
## 1 Andaman and Nicobar Islands 98250.5
## 2 Andhra Pradesh 4795173.5
## 3 Arunachal Pradesh 213526.0
## 4 Assam 1667316.0
## 5 Bihar 6142022.5
## 6 Chandigarh 181453.5
## 7 Chhattisgarh 5302757.5
## 8 Dadra and Nagar Haveli and Daman and Diu 90929.0
## 9 Delhi 2098484.0
## 10 Goa 308509.0
## 11 Gujarat 10503962.5
## 12 Haryana 3140072.5
## 13 Himachal Pradesh 1570927.0
## 14 India 127858125.5
## 15 Jammu and Kashmir 2084425.5
## 16 Jharkhand 2730544.0
## 17 Karnataka 7911017.0
## 18 Kerala 6572067.5
## 19 Ladakh 98929.5
## 20 Lakshadweep 21547.5
## 21 Madhya Pradesh 7232094.5
## 22 Maharashtra 12984434.0
## 23 Manipur 187349.0
## 24 Meghalaya 217755.0
## 25 Mizoram 217308.5
## 26 Nagaland 175423.5
## 27 Odisha 5203989.5
## 28 Puducherry 183734.5
## 29 Punjab 2765897.0
## 30 Rajasthan 11853978.0
## 31 Sikkim 187924.0
## 32 Tamil Nadu 4644988.5
## 33 Telangana 3593135.5
## 34 Tripura 1043700.5
## 35 Uttar Pradesh 10741115.5
## 36 Uttarakhand 1893133.5
## 37 West Bengal 9011458.5aggregate(vaccine$covishield_doses ~ vaccine$State, data = vaccine, FUN = max)## vaccine$State vaccine$covishield_doses
## 1 Andaman and Nicobar Islands 310643
## 2 Andhra Pradesh 19988469
## 3 Arunachal Pradesh 879094
## 4 Assam 11089982
## 5 Bihar 24826305
## 6 Chandigarh 919663
## 7 Chhattisgarh 10437403
## 8 Dadra and Nagar Haveli and Daman and Diu 665174
## 9 Delhi 8212529
## 10 Goa 1369778
## 11 Gujarat 33213137
## 12 Haryana 11075899
## 13 Himachal Pradesh 5626331
## 14 India 446825051
## 15 Jammu and Kashmir 6567390
## 16 Jharkhand 8664263
## 17 Karnataka 28952499
## 18 Kerala 20023775
## 19 Ladakh 259036
## 20 Lakshadweep 68295
## 21 Madhya Pradesh 31729473
## 22 Maharashtra 41051969
## 23 Manipur 1406118
## 24 Meghalaya 1170554
## 25 Mizoram 861719
## 26 Nagaland 789025
## 27 Odisha 15702929
## 28 Puducherry 753288
## 29 Punjab 8883204
## 30 Rajasthan 30953894
## 31 Sikkim 649389
## 32 Tamil Nadu 21632554
## 33 Telangana 12339089
## 34 Tripura 3150802
## 35 Uttar Pradesh 48258007
## 36 Uttarakhand 6164740
## 37 West Bengal 28178632aggregate(vaccine$covishield_doses ~ vaccine$State, data = vaccine, FUN = min)## vaccine$State vaccine$covishield_doses
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 India 0
## 15 Jammu and Kashmir 0
## 16 Jharkhand 0
## 17 Karnataka 0
## 18 Kerala 0
## 19 Ladakh 0
## 20 Lakshadweep 0
## 21 Madhya Pradesh 0
## 22 Maharashtra 0
## 23 Manipur 0
## 24 Meghalaya 0
## 25 Mizoram 0
## 26 Nagaland 0
## 27 Odisha 0
## 28 Puducherry 0
## 29 Punjab 0
## 30 Rajasthan 0
## 31 Sikkim 0
## 32 Tamil Nadu 0
## 33 Telangana 0
## 34 Tripura 0
## 35 Uttar Pradesh 0
## 36 Uttarakhand 0
## 37 West Bengal 0aggregate(vaccine$sputnik_V_doses ~ vaccine$State, data = vaccine, FUN = mean)## vaccine$State vaccine$sputnik_V_doses
## 1 Andaman and Nicobar Islands 0.0000
## 2 Andhra Pradesh 6662.6934
## 3 Arunachal Pradesh 0.0000
## 4 Assam 176.1415
## 5 Bihar 288.1887
## 6 Chandigarh 0.0000
## 7 Chhattisgarh 512.5283
## 8 Dadra and Nagar Haveli and Daman and Diu 0.0000
## 9 Delhi 4777.9014
## 10 Goa 0.0000
## 11 Gujarat 1239.7972
## 12 Haryana 4726.0000
## 13 Himachal Pradesh 662.8208
## 14 India 68203.8538
## 15 Jammu and Kashmir 0.0000
## 16 Jharkhand 475.2217
## 17 Karnataka 5598.5236
## 18 Kerala 2748.1274
## 19 Ladakh 0.0000
## 20 Lakshadweep 0.0000
## 21 Madhya Pradesh 1195.0943
## 22 Maharashtra 9497.8208
## 23 Manipur 0.0000
## 24 Meghalaya 0.0000
## 25 Mizoram 0.0000
## 26 Nagaland 202.8066
## 27 Odisha 416.6226
## 28 Puducherry 0.0000
## 29 Punjab 812.6792
## 30 Rajasthan 1079.5849
## 31 Sikkim 0.0000
## 32 Tamil Nadu 3659.0755
## 33 Telangana 16986.8255
## 34 Tripura 0.0000
## 35 Uttar Pradesh 1744.2642
## 36 Uttarakhand 0.0000
## 37 West Bengal 4718.5991aggregate(vaccine$sputnik_V_doses ~ vaccine$State, data = vaccine, FUN = median)## vaccine$State vaccine$sputnik_V_doses
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 India 0
## 15 Jammu and Kashmir 0
## 16 Jharkhand 0
## 17 Karnataka 0
## 18 Kerala 0
## 19 Ladakh 0
## 20 Lakshadweep 0
## 21 Madhya Pradesh 0
## 22 Maharashtra 0
## 23 Manipur 0
## 24 Meghalaya 0
## 25 Mizoram 0
## 26 Nagaland 0
## 27 Odisha 0
## 28 Puducherry 0
## 29 Punjab 0
## 30 Rajasthan 0
## 31 Sikkim 0
## 32 Tamil Nadu 0
## 33 Telangana 0
## 34 Tripura 0
## 35 Uttar Pradesh 0
## 36 Uttarakhand 0
## 37 West Bengal 0aggregate(vaccine$sputnik_V_doses ~ vaccine$State, data = vaccine, FUN = max)## vaccine$State vaccine$sputnik_V_doses
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 49836
## 3 Arunachal Pradesh 0
## 4 Assam 1692
## 5 Bihar 2548
## 6 Chandigarh 0
## 7 Chhattisgarh 5246
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 45785
## 10 Goa 0
## 11 Gujarat 13541
## 12 Haryana 44820
## 13 Himachal Pradesh 2946
## 14 India 588039
## 15 Jammu and Kashmir 0
## 16 Jharkhand 3937
## 17 Karnataka 56047
## 18 Kerala 30881
## 19 Ladakh 0
## 20 Lakshadweep 0
## 21 Madhya Pradesh 12648
## 22 Maharashtra 96007
## 23 Manipur 0
## 24 Meghalaya 0
## 25 Mizoram 0
## 26 Nagaland 2483
## 27 Odisha 4318
## 28 Puducherry 0
## 29 Punjab 7274
## 30 Rajasthan 10068
## 31 Sikkim 0
## 32 Tamil Nadu 38431
## 33 Telangana 97389
## 34 Tripura 0
## 35 Uttar Pradesh 18628
## 36 Uttarakhand 0
## 37 West Bengal 43516aggregate(vaccine$sputnik_V_doses ~ vaccine$State, data = vaccine, FUN = min)## vaccine$State vaccine$sputnik_V_doses
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 India 0
## 15 Jammu and Kashmir 0
## 16 Jharkhand 0
## 17 Karnataka 0
## 18 Kerala 0
## 19 Ladakh 0
## 20 Lakshadweep 0
## 21 Madhya Pradesh 0
## 22 Maharashtra 0
## 23 Manipur 0
## 24 Meghalaya 0
## 25 Mizoram 0
## 26 Nagaland 0
## 27 Odisha 0
## 28 Puducherry 0
## 29 Punjab 0
## 30 Rajasthan 0
## 31 Sikkim 0
## 32 Tamil Nadu 0
## 33 Telangana 0
## 34 Tripura 0
## 35 Uttar Pradesh 0
## 36 Uttarakhand 0
## 37 West Bengal 0aggregate(vaccine$AEFI ~ vaccine$State, data = vaccine, FUN = mean)## vaccine$State vaccine$AEFI
## 1 Andaman and Nicobar Islands 1.745283e+00
## 2 Andhra Pradesh 2.252972e+02
## 3 Arunachal Pradesh 1.856462e+02
## 4 Assam 1.295849e+02
## 5 Bihar 1.318019e+02
## 6 Chandigarh 8.004245e+01
## 7 Chhattisgarh 3.862311e+02
## 8 Dadra and Nagar Haveli and Daman and Diu 6.646698e+01
## 9 Delhi 6.172911e+02
## 10 Goa 3.873679e+02
## 11 Gujarat 6.911179e+02
## 12 Haryana 5.839575e+02
## 13 Himachal Pradesh 4.561085e+02
## 14 India 1.461460e+04
## 15 Jammu and Kashmir 8.003302e+01
## 16 Jharkhand 4.270802e+02
## 17 Karnataka 1.749816e+03
## 18 Kerala 1.625146e+03
## 19 Ladakh 2.306604e+00
## 20 Lakshadweep 6.886792e-01
## 21 Madhya Pradesh 4.040755e+02
## 22 Maharashtra 2.604670e+03
## 23 Manipur 5.834906e+01
## 24 Meghalaya 1.818302e+02
## 25 Mizoram 5.096132e+02
## 26 Nagaland 2.761792e+01
## 27 Odisha 1.694104e+02
## 28 Puducherry 1.300000e+01
## 29 Punjab 9.525472e+01
## 30 Rajasthan 3.082311e+02
## 31 Sikkim 1.615330e+02
## 32 Tamil Nadu 9.103302e+01
## 33 Telangana 2.567123e+02
## 34 Tripura 4.322642e+01
## 35 Uttar Pradesh 8.559717e+02
## 36 Uttarakhand 2.015047e+02
## 37 West Bengal 7.994717e+02aggregate(vaccine$AEFI ~ vaccine$State, data = vaccine, FUN = median)## vaccine$State vaccine$AEFI
## 1 Andaman and Nicobar Islands 1.0
## 2 Andhra Pradesh 317.0
## 3 Arunachal Pradesh 257.0
## 4 Assam 165.0
## 5 Bihar 179.0
## 6 Chandigarh 88.0
## 7 Chhattisgarh 542.0
## 8 Dadra and Nagar Haveli and Daman and Diu 85.0
## 9 Delhi 795.0
## 10 Goa 541.5
## 11 Gujarat 943.0
## 12 Haryana 822.0
## 13 Himachal Pradesh 645.0
## 14 India 19411.5
## 15 Jammu and Kashmir 98.0
## 16 Jharkhand 360.0
## 17 Karnataka 2494.0
## 18 Kerala 2302.5
## 19 Ladakh 2.0
## 20 Lakshadweep 0.0
## 21 Madhya Pradesh 433.0
## 22 Maharashtra 3578.0
## 23 Manipur 66.0
## 24 Meghalaya 236.0
## 25 Mizoram 543.0
## 26 Nagaland 34.0
## 27 Odisha 185.5
## 28 Puducherry 16.0
## 29 Punjab 108.0
## 30 Rajasthan 413.5
## 31 Sikkim 214.0
## 32 Tamil Nadu 106.5
## 33 Telangana 369.0
## 34 Tripura 61.0
## 35 Uttar Pradesh 1113.0
## 36 Uttarakhand 276.5
## 37 West Bengal 1010.5aggregate(vaccine$AEFI ~ vaccine$State, data = vaccine, FUN = max)## vaccine$State vaccine$AEFI
## 1 Andaman and Nicobar Islands 5
## 2 Andhra Pradesh 656
## 3 Arunachal Pradesh 286
## 4 Assam 265
## 5 Bihar 236
## 6 Chandigarh 172
## 7 Chhattisgarh 648
## 8 Dadra and Nagar Haveli and Daman and Diu 142
## 9 Delhi 1072
## 10 Goa 600
## 11 Gujarat 1193
## 12 Haryana 916
## 13 Himachal Pradesh 739
## 14 India 26542
## 15 Jammu and Kashmir 168
## 16 Jharkhand 908
## 17 Karnataka 2670
## 18 Kerala 2627
## 19 Ladakh 6
## 20 Lakshadweep 6
## 21 Madhya Pradesh 946
## 22 Maharashtra 4706
## 23 Manipur 143
## 24 Meghalaya 298
## 25 Mizoram 1143
## 26 Nagaland 56
## 27 Odisha 461
## 28 Puducherry 28
## 29 Punjab 223
## 30 Rajasthan 552
## 31 Sikkim 293
## 32 Tamil Nadu 216
## 33 Telangana 408
## 34 Tripura 76
## 35 Uttar Pradesh 1559
## 36 Uttarakhand 338
## 37 West Bengal 1782aggregate(vaccine$AEFI ~ vaccine$State, data = vaccine, FUN = min)## vaccine$State vaccine$AEFI
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 India 0
## 15 Jammu and Kashmir 0
## 16 Jharkhand 0
## 17 Karnataka 0
## 18 Kerala 0
## 19 Ladakh 0
## 20 Lakshadweep 0
## 21 Madhya Pradesh 0
## 22 Maharashtra 0
## 23 Manipur 0
## 24 Meghalaya 0
## 25 Mizoram 0
## 26 Nagaland 0
## 27 Odisha 0
## 28 Puducherry 0
## 29 Punjab 0
## 30 Rajasthan 0
## 31 Sikkim 0
## 32 Tamil Nadu 0
## 33 Telangana 0
## 34 Tripura 0
## 35 Uttar Pradesh 0
## 36 Uttarakhand 0
## 37 West Bengal 0aggregate(vaccine$males_vaccinated ~ vaccine$State, data = vaccine, FUN = mean)## vaccine$State vaccine$males_vaccinated
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 India 33673108
## 15 Jammu and Kashmir 0
## 16 Jharkhand 0
## 17 Karnataka 0
## 18 Kerala 0
## 19 Ladakh 0
## 20 Lakshadweep 0
## 21 Madhya Pradesh 0
## 22 Maharashtra 0
## 23 Manipur 0
## 24 Meghalaya 0
## 25 Mizoram 0
## 26 Nagaland 0
## 27 Odisha 0
## 28 Puducherry 0
## 29 Punjab 0
## 30 Rajasthan 0
## 31 Sikkim 0
## 32 Tamil Nadu 0
## 33 Telangana 0
## 34 Tripura 0
## 35 Uttar Pradesh 0
## 36 Uttarakhand 0
## 37 West Bengal 0aggregate(vaccine$males_vaccinated ~ vaccine$State, data = vaccine, FUN = median)## vaccine$State vaccine$males_vaccinated
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 India 10822658
## 15 Jammu and Kashmir 0
## 16 Jharkhand 0
## 17 Karnataka 0
## 18 Kerala 0
## 19 Ladakh 0
## 20 Lakshadweep 0
## 21 Madhya Pradesh 0
## 22 Maharashtra 0
## 23 Manipur 0
## 24 Meghalaya 0
## 25 Mizoram 0
## 26 Nagaland 0
## 27 Odisha 0
## 28 Puducherry 0
## 29 Punjab 0
## 30 Rajasthan 0
## 31 Sikkim 0
## 32 Tamil Nadu 0
## 33 Telangana 0
## 34 Tripura 0
## 35 Uttar Pradesh 0
## 36 Uttarakhand 0
## 37 West Bengal 0aggregate(vaccine$males_vaccinated ~ vaccine$State, data = vaccine, FUN = max)## vaccine$State vaccine$males_vaccinated
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 India 134941971
## 15 Jammu and Kashmir 0
## 16 Jharkhand 0
## 17 Karnataka 0
## 18 Kerala 0
## 19 Ladakh 0
## 20 Lakshadweep 0
## 21 Madhya Pradesh 0
## 22 Maharashtra 0
## 23 Manipur 0
## 24 Meghalaya 0
## 25 Mizoram 0
## 26 Nagaland 0
## 27 Odisha 0
## 28 Puducherry 0
## 29 Punjab 0
## 30 Rajasthan 0
## 31 Sikkim 0
## 32 Tamil Nadu 0
## 33 Telangana 0
## 34 Tripura 0
## 35 Uttar Pradesh 0
## 36 Uttarakhand 0
## 37 West Bengal 0aggregate(vaccine$males_vaccinated ~ vaccine$State, data = vaccine, FUN = min)## vaccine$State vaccine$males_vaccinated
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 India 0
## 15 Jammu and Kashmir 0
## 16 Jharkhand 0
## 17 Karnataka 0
## 18 Kerala 0
## 19 Ladakh 0
## 20 Lakshadweep 0
## 21 Madhya Pradesh 0
## 22 Maharashtra 0
## 23 Manipur 0
## 24 Meghalaya 0
## 25 Mizoram 0
## 26 Nagaland 0
## 27 Odisha 0
## 28 Puducherry 0
## 29 Punjab 0
## 30 Rajasthan 0
## 31 Sikkim 0
## 32 Tamil Nadu 0
## 33 Telangana 0
## 34 Tripura 0
## 35 Uttar Pradesh 0
## 36 Uttarakhand 0
## 37 West Bengal 0aggregate(vaccine$females_vaccinated ~ vaccine$State, data = vaccine, FUN = mean)## vaccine$State vaccine$females_vaccinated
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 India 29819003
## 15 Jammu and Kashmir 0
## 16 Jharkhand 0
## 17 Karnataka 0
## 18 Kerala 0
## 19 Ladakh 0
## 20 Lakshadweep 0
## 21 Madhya Pradesh 0
## 22 Maharashtra 0
## 23 Manipur 0
## 24 Meghalaya 0
## 25 Mizoram 0
## 26 Nagaland 0
## 27 Odisha 0
## 28 Puducherry 0
## 29 Punjab 0
## 30 Rajasthan 0
## 31 Sikkim 0
## 32 Tamil Nadu 0
## 33 Telangana 0
## 34 Tripura 0
## 35 Uttar Pradesh 0
## 36 Uttarakhand 0
## 37 West Bengal 0aggregate(vaccine$females_vaccinated ~ vaccine$State, data = vaccine, FUN = median)## vaccine$State vaccine$females_vaccinated
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 India 8921522
## 15 Jammu and Kashmir 0
## 16 Jharkhand 0
## 17 Karnataka 0
## 18 Kerala 0
## 19 Ladakh 0
## 20 Lakshadweep 0
## 21 Madhya Pradesh 0
## 22 Maharashtra 0
## 23 Manipur 0
## 24 Meghalaya 0
## 25 Mizoram 0
## 26 Nagaland 0
## 27 Odisha 0
## 28 Puducherry 0
## 29 Punjab 0
## 30 Rajasthan 0
## 31 Sikkim 0
## 32 Tamil Nadu 0
## 33 Telangana 0
## 34 Tripura 0
## 35 Uttar Pradesh 0
## 36 Uttarakhand 0
## 37 West Bengal 0aggregate(vaccine$females_vaccinated ~ vaccine$State, data = vaccine, FUN = max)## vaccine$State vaccine$females_vaccinated
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 India 115668447
## 15 Jammu and Kashmir 0
## 16 Jharkhand 0
## 17 Karnataka 0
## 18 Kerala 0
## 19 Ladakh 0
## 20 Lakshadweep 0
## 21 Madhya Pradesh 0
## 22 Maharashtra 0
## 23 Manipur 0
## 24 Meghalaya 0
## 25 Mizoram 0
## 26 Nagaland 0
## 27 Odisha 0
## 28 Puducherry 0
## 29 Punjab 0
## 30 Rajasthan 0
## 31 Sikkim 0
## 32 Tamil Nadu 0
## 33 Telangana 0
## 34 Tripura 0
## 35 Uttar Pradesh 0
## 36 Uttarakhand 0
## 37 West Bengal 0aggregate(vaccine$females_vaccinated ~ vaccine$State, data = vaccine, FUN = min)## vaccine$State vaccine$females_vaccinated
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 India 0
## 15 Jammu and Kashmir 0
## 16 Jharkhand 0
## 17 Karnataka 0
## 18 Kerala 0
## 19 Ladakh 0
## 20 Lakshadweep 0
## 21 Madhya Pradesh 0
## 22 Maharashtra 0
## 23 Manipur 0
## 24 Meghalaya 0
## 25 Mizoram 0
## 26 Nagaland 0
## 27 Odisha 0
## 28 Puducherry 0
## 29 Punjab 0
## 30 Rajasthan 0
## 31 Sikkim 0
## 32 Tamil Nadu 0
## 33 Telangana 0
## 34 Tripura 0
## 35 Uttar Pradesh 0
## 36 Uttarakhand 0
## 37 West Bengal 0aggregate(vaccine$transgender_vaccinated ~ vaccine$State, data = vaccine, FUN = mean)## vaccine$State vaccine$transgender_vaccinated
## 1 Andaman and Nicobar Islands 0.000
## 2 Andhra Pradesh 0.000
## 3 Arunachal Pradesh 0.000
## 4 Assam 0.000
## 5 Bihar 0.000
## 6 Chandigarh 0.000
## 7 Chhattisgarh 0.000
## 8 Dadra and Nagar Haveli and Daman and Diu 0.000
## 9 Delhi 0.000
## 10 Goa 0.000
## 11 Gujarat 0.000
## 12 Haryana 0.000
## 13 Himachal Pradesh 0.000
## 14 India 9336.259
## 15 Jammu and Kashmir 0.000
## 16 Jharkhand 0.000
## 17 Karnataka 0.000
## 18 Kerala 0.000
## 19 Ladakh 0.000
## 20 Lakshadweep 0.000
## 21 Madhya Pradesh 0.000
## 22 Maharashtra 0.000
## 23 Manipur 0.000
## 24 Meghalaya 0.000
## 25 Mizoram 0.000
## 26 Nagaland 0.000
## 27 Odisha 0.000
## 28 Puducherry 0.000
## 29 Punjab 0.000
## 30 Rajasthan 0.000
## 31 Sikkim 0.000
## 32 Tamil Nadu 0.000
## 33 Telangana 0.000
## 34 Tripura 0.000
## 35 Uttar Pradesh 0.000
## 36 Uttarakhand 0.000
## 37 West Bengal 0.000aggregate(vaccine$transgender_vaccinated ~ vaccine$State, data = vaccine, FUN = median)## vaccine$State vaccine$transgender_vaccinated
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 India 2086
## 15 Jammu and Kashmir 0
## 16 Jharkhand 0
## 17 Karnataka 0
## 18 Kerala 0
## 19 Ladakh 0
## 20 Lakshadweep 0
## 21 Madhya Pradesh 0
## 22 Maharashtra 0
## 23 Manipur 0
## 24 Meghalaya 0
## 25 Mizoram 0
## 26 Nagaland 0
## 27 Odisha 0
## 28 Puducherry 0
## 29 Punjab 0
## 30 Rajasthan 0
## 31 Sikkim 0
## 32 Tamil Nadu 0
## 33 Telangana 0
## 34 Tripura 0
## 35 Uttar Pradesh 0
## 36 Uttarakhand 0
## 37 West Bengal 0aggregate(vaccine$transgender_vaccinated ~ vaccine$State, data = vaccine, FUN = max)## vaccine$State vaccine$transgender_vaccinated
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 India 46462
## 15 Jammu and Kashmir 0
## 16 Jharkhand 0
## 17 Karnataka 0
## 18 Kerala 0
## 19 Ladakh 0
## 20 Lakshadweep 0
## 21 Madhya Pradesh 0
## 22 Maharashtra 0
## 23 Manipur 0
## 24 Meghalaya 0
## 25 Mizoram 0
## 26 Nagaland 0
## 27 Odisha 0
## 28 Puducherry 0
## 29 Punjab 0
## 30 Rajasthan 0
## 31 Sikkim 0
## 32 Tamil Nadu 0
## 33 Telangana 0
## 34 Tripura 0
## 35 Uttar Pradesh 0
## 36 Uttarakhand 0
## 37 West Bengal 0aggregate(vaccine$transgender_vaccinated ~ vaccine$State, data = vaccine, FUN = min)## vaccine$State vaccine$transgender_vaccinated
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 India 0
## 15 Jammu and Kashmir 0
## 16 Jharkhand 0
## 17 Karnataka 0
## 18 Kerala 0
## 19 Ladakh 0
## 20 Lakshadweep 0
## 21 Madhya Pradesh 0
## 22 Maharashtra 0
## 23 Manipur 0
## 24 Meghalaya 0
## 25 Mizoram 0
## 26 Nagaland 0
## 27 Odisha 0
## 28 Puducherry 0
## 29 Punjab 0
## 30 Rajasthan 0
## 31 Sikkim 0
## 32 Tamil Nadu 0
## 33 Telangana 0
## 34 Tripura 0
## 35 Uttar Pradesh 0
## 36 Uttarakhand 0
## 37 West Bengal 0aggregate(vaccine$total_vaccinated ~ vaccine$State, data = vaccine, FUN = mean)## vaccine$State vaccine$total_vaccinated
## 1 Andaman and Nicobar Islands 38217.57
## 2 Andhra Pradesh 2663165.63
## 3 Arunachal Pradesh 99441.31
## 4 Assam 1130986.28
## 5 Bihar 3117207.08
## 6 Chandigarh 93073.09
## 7 Chhattisgarh 2053345.48
## 8 Dadra and Nagar Haveli and Daman and Diu 53578.30
## 9 Delhi 1435385.97
## 10 Goa 151484.83
## 11 Gujarat 5086134.64
## 12 Haryana 1715823.94
## 13 Himachal Pradesh 709866.11
## 14 India 63501447.62
## 15 Jammu and Kashmir 961131.04
## 16 Jharkhand 1363918.25
## 17 Karnataka 4096809.10
## 18 Kerala 2928420.71
## 19 Ladakh 44652.31
## 20 Lakshadweep 10022.24
## 21 Madhya Pradesh 3640868.14
## 22 Maharashtra 6618280.63
## 23 Manipur 125727.67
## 24 Meghalaya 128326.75
## 25 Mizoram 97039.87
## 26 Nagaland 83134.41
## 27 Odisha 2408112.33
## 28 Puducherry 83776.66
## 29 Punjab 1356341.32
## 30 Rajasthan 5382843.43
## 31 Sikkim 76116.75
## 32 Tamil Nadu 2564840.16
## 33 Telangana 1855527.46
## 34 Tripura 442417.18
## 35 Uttar Pradesh 5663091.90
## 36 Uttarakhand 824236.70
## 37 West Bengal 4363314.65aggregate(vaccine$total_vaccinated ~ vaccine$State, data = vaccine, FUN = median)## vaccine$State vaccine$total_vaccinated
## 1 Andaman and Nicobar Islands 10432.5
## 2 Andhra Pradesh 785331.5
## 3 Arunachal Pradesh 43092.0
## 4 Assam 451124.5
## 5 Bihar 948477.0
## 6 Chandigarh 35598.5
## 7 Chhattisgarh 651962.0
## 8 Dadra and Nagar Haveli and Daman and Diu 13168.5
## 9 Delhi 498624.0
## 10 Goa 48747.0
## 11 Gujarat 1771801.0
## 12 Haryana 335493.5
## 13 Himachal Pradesh 156793.0
## 14 India 19746267.0
## 15 Jammu and Kashmir 337279.5
## 16 Jharkhand 440648.5
## 17 Karnataka 887602.5
## 18 Kerala 973517.5
## 19 Ladakh 25089.5
## 20 Lakshadweep 2088.5
## 21 Madhya Pradesh 982817.0
## 22 Maharashtra 1776737.5
## 23 Manipur 69805.0
## 24 Meghalaya 56629.0
## 25 Mizoram 43392.0
## 26 Nagaland 38718.5
## 27 Odisha 754905.0
## 28 Puducherry 20421.0
## 29 Punjab 266530.5
## 30 Rajasthan 2087589.0
## 31 Sikkim 36495.0
## 32 Tamil Nadu 862751.0
## 33 Telangana 449601.0
## 34 Tripura 126825.5
## 35 Uttar Pradesh 1738578.0
## 36 Uttarakhand 241877.5
## 37 West Bengal 1766444.5aggregate(vaccine$total_vaccinated ~ vaccine$State, data = vaccine, FUN = max)## vaccine$State vaccine$total_vaccinated
## 1 Andaman and Nicobar Islands 133533
## 2 Andhra Pradesh 11586263
## 3 Arunachal Pradesh 448592
## 4 Assam 5387805
## 5 Bihar 13127210
## 6 Chandigarh 403380
## 7 Chhattisgarh 5739810
## 8 Dadra and Nagar Haveli and Daman and Diu 312751
## 9 Delhi 5318124
## 10 Goa 713714
## 11 Gujarat 18826982
## 12 Haryana 6928225
## 13 Himachal Pradesh 2773268
## 14 India 250656880
## 15 Jammu and Kashmir 3546680
## 16 Jharkhand 5275892
## 17 Karnataka 17493598
## 18 Kerala 10258975
## 19 Ladakh 167571
## 20 Lakshadweep 45834
## 21 Madhya Pradesh 16512594
## 22 Maharashtra 24046509
## 23 Manipur 515401
## 24 Meghalaya 565784
## 25 Mizoram 465500
## 26 Nagaland 386200
## 27 Odisha 9126091
## 28 Puducherry 401988
## 29 Punjab 4929959
## 30 Rajasthan 19090259
## 31 Sikkim 349190
## 32 Tamil Nadu 11658908
## 33 Telangana 8430040
## 34 Tripura 1834177
## 35 Uttar Pradesh 24782239
## 36 Uttarakhand 3274993
## 37 West Bengal 15798841aggregate(vaccine$total_vaccinated ~ vaccine$State, data = vaccine, FUN = min)## vaccine$State vaccine$total_vaccinated
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 India 0
## 15 Jammu and Kashmir 0
## 16 Jharkhand 0
## 17 Karnataka 0
## 18 Kerala 0
## 19 Ladakh 0
## 20 Lakshadweep 0
## 21 Madhya Pradesh 0
## 22 Maharashtra 0
## 23 Manipur 0
## 24 Meghalaya 0
## 25 Mizoram 0
## 26 Nagaland 0
## 27 Odisha 0
## 28 Puducherry 0
## 29 Punjab 0
## 30 Rajasthan 0
## 31 Sikkim 0
## 32 Tamil Nadu 0
## 33 Telangana 0
## 34 Tripura 0
## 35 Uttar Pradesh 0
## 36 Uttarakhand 0
## 37 West Bengal 0aggregate(testing$TotalSamples ~ testing$State, data = testing, FUN = mean)## testing$State testing$TotalSamples
## 1 Andaman and Nicobar Islands 193090.68
## 2 Andhra Pradesh 10179863.42
## 3 Arunachal Pradesh 342997.03
## 4 Assam 6084241.70
## 5 Bihar 15118192.96
## 6 Chandigarh 208240.19
## 7 Chhattisgarh 3865413.44
## 8 Dadra and Nagar Haveli and Daman and Diu 37201.57
## 9 Delhi 8815125.68
## 10 Goa 409744.80
## 11 Gujarat 9494690.13
## 12 Haryana 4180357.63
## 13 Himachal Pradesh 875292.81
## 14 Jammu and Kashmir 4008760.81
## 15 Jharkhand 4242793.96
## 16 Karnataka 13794802.31
## 17 Kerala 8589548.44
## 18 Ladakh 143317.89
## 19 Lakshadweep 102652.05
## 20 Madhya Pradesh 4671662.14
## 21 Maharashtra 15029864.38
## 22 Manipur 456928.55
## 23 Meghalaya 306013.48
## 24 Mizoram 181941.05
## 25 Nagaland 107103.66
## 26 Odisha 6027746.71
## 27 Puducherry 498741.87
## 28 Punjab 4127445.27
## 29 Rajasthan 5133483.00
## 30 Sikkim 72140.58
## 31 Tamil Nadu 13668408.68
## 32 Telangana 8169397.06
## 33 Tripura 551976.16
## 34 Uttar Pradesh 23288703.98
## 35 Uttarakhand 1994439.51
## 36 West Bengal 6189931.45aggregate(testing$TotalSamples ~ testing$State, data = testing, FUN = median)## testing$State testing$TotalSamples
## 1 Andaman and Nicobar Islands 175578.0
## 2 Andhra Pradesh 10603020.0
## 3 Arunachal Pradesh 370128.0
## 4 Assam 5760162.0
## 5 Bihar 15782581.0
## 6 Chandigarh 152801.0
## 7 Chhattisgarh 2976714.0
## 8 Dadra and Nagar Haveli and Daman and Diu 39812.0
## 9 Delhi 6941407.0
## 10 Goa 369887.0
## 11 Gujarat 8371433.0
## 12 Haryana 3824461.5
## 13 Himachal Pradesh 595056.5
## 14 Jammu and Kashmir 3243834.0
## 15 Jharkhand 4445276.0
## 16 Karnataka 11878413.0
## 17 Kerala 6556713.0
## 18 Ladakh 91196.5
## 19 Lakshadweep 84262.0
## 20 Madhya Pradesh 3976544.5
## 21 Maharashtra 11412398.5
## 22 Manipur 495245.5
## 23 Meghalaya 277791.0
## 24 Mizoram 152137.0
## 25 Nagaland 116196.0
## 26 Odisha 6198083.0
## 27 Puducherry 436560.5
## 28 Punjab 3395729.0
## 29 Rajasthan 4664755.0
## 30 Sikkim 63780.0
## 31 Tamil Nadu 12605289.0
## 32 Telangana 7253236.0
## 33 Tripura 541546.0
## 34 Uttar Pradesh 20766011.0
## 35 Uttarakhand 1453671.0
## 36 West Bengal 6167307.0aggregate(testing$TotalSamples ~ testing$State, data = testing, FUN = max)## testing$State testing$TotalSamples
## 1 Andaman and Nicobar Islands 452587
## 2 Andhra Pradesh 25311733
## 3 Arunachal Pradesh 986281
## 4 Assam 19850867
## 5 Bihar 38820518
## 6 Chandigarh 629060
## 7 Chhattisgarh 11762041
## 8 Dadra and Nagar Haveli and Daman and Diu 72410
## 9 Delhi 24333906
## 10 Goa 1102474
## 11 Gujarat 26192626
## 12 Haryana 11135555
## 13 Himachal Pradesh 2961627
## 14 Jammu and Kashmir 12307566
## 15 Jharkhand 12184347
## 16 Karnataka 40104915
## 17 Kerala 28745545
## 18 Ladakh 454086
## 19 Lakshadweep 226724
## 20 Madhya Pradesh 15144644
## 21 Maharashtra 49905065
## 22 Manipur 1136573
## 23 Meghalaya 894820
## 24 Mizoram 688280
## 25 Nagaland 280777
## 26 Odisha 16683764
## 27 Puducherry 1557320
## 28 Punjab 12475529
## 29 Rajasthan 13185136
## 30 Sikkim 213375
## 31 Tamil Nadu 39002757
## 32 Telangana 22991849
## 33 Tripura 1630572
## 34 Uttar Pradesh 67897856
## 35 Uttarakhand 6526861
## 36 West Bengal 16162814aggregate(testing$TotalSamples ~ testing$State, data = testing, FUN = min)## testing$State testing$TotalSamples
## 1 Andaman and Nicobar Islands 1403
## 2 Andhra Pradesh 1800
## 3 Arunachal Pradesh 206
## 4 Assam 962
## 5 Bihar 3037
## 6 Chandigarh 124
## 7 Chhattisgarh 1232
## 8 Dadra and Nagar Haveli and Daman and Diu 80
## 9 Delhi 2621
## 10 Goa 220
## 11 Gujarat 4224
## 12 Haryana 1325
## 13 Himachal Pradesh 900
## 14 Jammu and Kashmir 1551
## 15 Jharkhand 1340
## 16 Karnataka 4587
## 17 Kerala 7965
## 18 Ladakh 618
## 19 Lakshadweep 524
## 20 Madhya Pradesh 2812
## 21 Maharashtra 16008
## 22 Manipur 276
## 23 Meghalaya 552
## 24 Mizoram 58
## 25 Nagaland 60
## 26 Odisha 1395
## 27 Puducherry 1207
## 28 Punjab 1434
## 29 Rajasthan 17638
## 30 Sikkim 170
## 31 Tamil Nadu 3684
## 32 Telangana 14962
## 33 Tripura 337
## 34 Uttar Pradesh 5255
## 35 Uttarakhand 678
## 36 West Bengal 659aggregate(testing$Positive ~ testing$State, data = testing, FUN = mean)## testing$State testing$Positive
## 1 Andaman and Nicobar Islands 3893.13687
## 2 Andhra Pradesh 7908.31967
## 3 Arunachal Pradesh 107.43187
## 4 Assam 4405.09808
## 5 Bihar 3802.34151
## 6 Chandigarh 123.58038
## 7 Chhattisgarh 970.65768
## 8 Dadra and Nagar Haveli and Daman and Diu 994.17647
## 9 Delhi 14004.44376
## 10 Goa 551.09938
## 11 Gujarat 16446.64682
## 12 Haryana 5752.34350
## 13 Himachal Pradesh 244.86475
## 14 Jammu and Kashmir 1999.21268
## 15 Jharkhand 106810.94008
## 16 Karnataka 9574.73931
## 17 Kerala 160408.80282
## 18 Ladakh 302.81293
## 19 Lakshadweep 0.00000
## 20 Madhya Pradesh 19479.83740
## 21 Maharashtra 198568.81762
## 22 Manipur 250.00246
## 23 Meghalaya 82.89487
## 24 Mizoram 42.54839
## 25 Nagaland 187.35950
## 26 Odisha 4500.93089
## 27 Puducherry 13153.39540
## 28 Punjab 1955.77800
## 29 Rajasthan 4979.78819
## 30 Sikkim 42.72155
## 31 Tamil Nadu 26013.45010
## 32 Telangana 9201.36754
## 33 Tripura 28256.74720
## 34 Uttar Pradesh 5610.82413
## 35 Uttarakhand 713.35438
## 36 West Bengal 7073.89655aggregate(testing$Positive ~ testing$State, data = testing, FUN = median)## testing$State testing$Positive
## 1 Andaman and Nicobar Islands 4742.0
## 2 Andhra Pradesh 0.0
## 3 Arunachal Pradesh 0.0
## 4 Assam 0.0
## 5 Bihar 0.0
## 6 Chandigarh 0.0
## 7 Chhattisgarh 0.0
## 8 Dadra and Nagar Haveli and Daman and Diu 279.0
## 9 Delhi 0.0
## 10 Goa 0.0
## 11 Gujarat 0.0
## 12 Haryana 0.0
## 13 Himachal Pradesh 0.0
## 14 Jammu and Kashmir 0.0
## 15 Jharkhand 105858.0
## 16 Karnataka 0.0
## 17 Kerala 1151.0
## 18 Ladakh 0.0
## 19 Lakshadweep 0.0
## 20 Madhya Pradesh 0.0
## 21 Maharashtra 0.0
## 22 Manipur 0.0
## 23 Meghalaya 0.0
## 24 Mizoram 0.0
## 25 Nagaland 0.0
## 26 Odisha 0.0
## 27 Puducherry 49.5
## 28 Punjab 0.0
## 29 Rajasthan 0.0
## 30 Sikkim 0.0
## 31 Tamil Nadu 0.0
## 32 Telangana 0.0
## 33 Tripura 32607.0
## 34 Uttar Pradesh 0.0
## 35 Uttarakhand 0.0
## 36 West Bengal 0.0aggregate(testing$Positive ~ testing$State, data = testing, FUN = max)## testing$State testing$Positive
## 1 Andaman and Nicobar Islands 7516
## 2 Andhra Pradesh 235525
## 3 Arunachal Pradesh 2658
## 4 Assam 87908
## 5 Bihar 90553
## 6 Chandigarh 2305
## 7 Chhattisgarh 19459
## 8 Dadra and Nagar Haveli and Daman and Diu 3194
## 9 Delhi 151928
## 10 Goa 12333
## 11 Gujarat 136004
## 12 Haryana 275137
## 13 Himachal Pradesh 3993
## 14 Jammu and Kashmir 31371
## 15 Jharkhand 346824
## 16 Karnataka 264546
## 17 Kerala 932639
## 18 Ladakh 4720
## 19 Lakshadweep 0
## 20 Madhya Pradesh 791732
## 21 Maharashtra 1638961
## 22 Manipur 4765
## 23 Meghalaya 1718
## 24 Mizoram 713
## 25 Nagaland 3558
## 26 Odisha 97920
## 27 Puducherry 44037
## 28 Punjab 124535
## 29 Rajasthan 67954
## 30 Sikkim 910
## 31 Tamil Nadu 367430
## 32 Telangana 124963
## 33 Tripura 80413
## 34 Uttar Pradesh 126722
## 35 Uttarakhand 14083
## 36 West Bengal 135596aggregate(testing$Positive ~ testing$State, data = testing, FUN = min)## testing$State testing$Positive
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 0
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 Jammu and Kashmir 0
## 15 Jharkhand 0
## 16 Karnataka 0
## 17 Kerala 0
## 18 Ladakh 0
## 19 Lakshadweep 0
## 20 Madhya Pradesh 0
## 21 Maharashtra 0
## 22 Manipur 0
## 23 Meghalaya 0
## 24 Mizoram 0
## 25 Nagaland 0
## 26 Odisha 0
## 27 Puducherry 0
## 28 Punjab 0
## 29 Rajasthan 0
## 30 Sikkim 0
## 31 Tamil Nadu 0
## 32 Telangana 0
## 33 Tripura 0
## 34 Uttar Pradesh 0
## 35 Uttarakhand 0
## 36 West Bengal 0aggregate(testing$Negative ~ testing$State, data = testing, FUN = mean)## testing$State testing$Negative
## 1 Andaman and Nicobar Islands 2.671082e+00
## 2 Andhra Pradesh 8.179508e+06
## 3 Arunachal Pradesh 2.424020e+05
## 4 Assam 4.612175e+03
## 5 Bihar 4.701431e+00
## 6 Chandigarh 1.849703e+05
## 7 Chhattisgarh 5.604687e+03
## 8 Dadra and Nagar Haveli and Daman and Diu 3.557339e+04
## 9 Delhi 9.061452e+02
## 10 Goa 2.394017e+02
## 11 Gujarat 8.507733e+04
## 12 Haryana 1.448021e+06
## 13 Himachal Pradesh 8.096606e+05
## 14 Jammu and Kashmir 4.043705e+06
## 15 Jharkhand 4.081146e+06
## 16 Karnataka 7.252489e+04
## 17 Kerala 6.478479e+03
## 18 Ladakh 8.634894e+04
## 19 Lakshadweep 0.000000e+00
## 20 Madhya Pradesh 2.463174e+06
## 21 Maharashtra 7.862312e+05
## 22 Manipur 0.000000e+00
## 23 Meghalaya 2.843978e+05
## 24 Mizoram 0.000000e+00
## 25 Nagaland 2.255558e+02
## 26 Odisha 1.304065e+02
## 27 Puducherry 4.130460e+05
## 28 Punjab 2.762741e+03
## 29 Rajasthan 1.090632e+06
## 30 Sikkim 1.062419e+03
## 31 Tamil Nadu 6.554063e+04
## 32 Telangana 5.909246e+03
## 33 Tripura 5.221921e+05
## 34 Uttar Pradesh 3.318365e+04
## 35 Uttarakhand 1.869928e+06
## 36 West Bengal 1.152130e+00aggregate(testing$Negative ~ testing$State, data = testing, FUN = median)## testing$State testing$Negative
## 1 Andaman and Nicobar Islands 0.0
## 2 Andhra Pradesh 6589093.5
## 3 Arunachal Pradesh 285259.0
## 4 Assam 0.0
## 5 Bihar 0.0
## 6 Chandigarh 132612.0
## 7 Chhattisgarh 0.0
## 8 Dadra and Nagar Haveli and Daman and Diu 38520.5
## 9 Delhi 0.0
## 10 Goa 0.0
## 11 Gujarat 0.0
## 12 Haryana 321919.0
## 13 Himachal Pradesh 539972.0
## 14 Jammu and Kashmir 3129427.0
## 15 Jharkhand 4282742.5
## 16 Karnataka 0.0
## 17 Kerala 0.0
## 18 Ladakh 35135.5
## 19 Lakshadweep 0.0
## 20 Madhya Pradesh 1668826.5
## 21 Maharashtra 0.0
## 22 Manipur 0.0
## 23 Meghalaya 262745.0
## 24 Mizoram 0.0
## 25 Nagaland 0.0
## 26 Odisha 0.0
## 27 Puducherry 362999.5
## 28 Punjab 0.0
## 29 Rajasthan 68133.0
## 30 Sikkim 0.0
## 31 Tamil Nadu 0.0
## 32 Telangana 0.0
## 33 Tripura 508652.0
## 34 Uttar Pradesh 0.0
## 35 Uttarakhand 1359029.0
## 36 West Bengal 0.0aggregate(testing$Negative ~ testing$State, data = testing, FUN = max)## testing$State testing$Negative
## 1 Andaman and Nicobar Islands 1210
## 2 Andhra Pradesh 23326551
## 3 Arunachal Pradesh 716897
## 4 Assam 177989
## 5 Bihar 2299
## 6 Chandigarh 565758
## 7 Chhattisgarh 132332
## 8 Dadra and Nagar Haveli and Daman and Diu 68894
## 9 Delhi 39920
## 10 Goa 115434
## 11 Gujarat 2818481
## 12 Haryana 5588403
## 13 Himachal Pradesh 2752249
## 14 Jammu and Kashmir 83561026
## 15 Jharkhand 11836897
## 16 Karnataka 1002045
## 17 Kerala 134743
## 18 Ladakh 349101
## 19 Lakshadweep 0
## 20 Madhya Pradesh 8261873
## 21 Maharashtra 6641718
## 22 Manipur 0
## 23 Meghalaya 825051
## 24 Mizoram 0
## 25 Nagaland 8213
## 26 Odisha 9629
## 27 Puducherry 1326325
## 28 Punjab 67325
## 29 Rajasthan 4866322
## 30 Sikkim 25310
## 31 Tamil Nadu 1080516
## 32 Telangana 169324
## 33 Tripura 1550159
## 34 Uttar Pradesh 5215205
## 35 Uttarakhand 6184399
## 36 West Bengal 568aggregate(testing$Negative ~ testing$State, data = testing, FUN = min)## testing$State testing$Negative
## 1 Andaman and Nicobar Islands 0
## 2 Andhra Pradesh 0
## 3 Arunachal Pradesh 0
## 4 Assam 0
## 5 Bihar 0
## 6 Chandigarh 0
## 7 Chhattisgarh 0
## 8 Dadra and Nagar Haveli and Daman and Diu 80
## 9 Delhi 0
## 10 Goa 0
## 11 Gujarat 0
## 12 Haryana 0
## 13 Himachal Pradesh 0
## 14 Jammu and Kashmir 1429
## 15 Jharkhand 0
## 16 Karnataka 0
## 17 Kerala 0
## 18 Ladakh 0
## 19 Lakshadweep 0
## 20 Madhya Pradesh 0
## 21 Maharashtra 0
## 22 Manipur 0
## 23 Meghalaya 0
## 24 Mizoram 0
## 25 Nagaland 0
## 26 Odisha 0
## 27 Puducherry 0
## 28 Punjab 0
## 29 Rajasthan 0
## 30 Sikkim 0
## 31 Tamil Nadu 0
## 32 Telangana 0
## 33 Tripura 0
## 34 Uttar Pradesh 0
## 35 Uttarakhand 0
## 36 West Bengal 0SUMMARY STATISTICS.
skimr::skim_without_charts(covid)| Name | covid |
| Number of rows | 18110 |
| Number of columns | 9 |
| _______________________ | |
| Column type frequency: | |
| character | 3 |
| Date | 1 |
| numeric | 5 |
| ________________________ | |
| Group variables | None |
Variable type: character
| skim_variable | n_missing | complete_rate | min | max | empty | n_unique | whitespace |
|---|---|---|---|---|---|---|---|
| Time | 0 | 1 | 7 | 8 | 0 | 7 | 0 |
| State_UT | 0 | 1 | 3 | 40 | 0 | 46 | 0 |
| Month | 0 | 1 | 3 | 3 | 0 | 12 | 0 |
Variable type: Date
| skim_variable | n_missing | complete_rate | min | max | median | n_unique |
|---|---|---|---|---|---|---|
| Date | 0 | 1 | 2020-01-30 | 2021-08-11 | 2020-12-03 | 560 |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 |
|---|---|---|---|---|---|---|---|---|---|
| ConfirmedIndianNational | 0 | 1 | 0.30 | 3.87 | 0 | 0.00 | 0.0 | 0.00 | 177 |
| ConfirmedForeignNational | 0 | 1 | 0.04 | 0.61 | 0 | 0.00 | 0.0 | 0.00 | 14 |
| Cured | 0 | 1 | 278637.52 | 614890.89 | 0 | 3360.25 | 33364.0 | 278869.75 | 6159676 |
| Deaths | 0 | 1 | 4052.40 | 10919.08 | 0 | 32.00 | 588.0 | 3643.75 | 134201 |
| Confirmed | 0 | 1 | 301031.40 | 656148.87 | 0 | 4376.75 | 39773.5 | 300149.75 | 6363442 |
skimr::skim_without_charts(vaccine)| Name | vaccine |
| Number of rows | 7845 |
| Number of columns | 19 |
| _______________________ | |
| Column type frequency: | |
| character | 2 |
| Date | 1 |
| numeric | 16 |
| ________________________ | |
| Group variables | None |
Variable type: character
| skim_variable | n_missing | complete_rate | min | max | empty | n_unique | whitespace |
|---|---|---|---|---|---|---|---|
| State | 0 | 1 | 3 | 40 | 0 | 37 | 0 |
| Month | 0 | 1 | 3 | 3 | 0 | 8 | 0 |
Variable type: Date
| skim_variable | n_missing | complete_rate | min | max | median | n_unique |
|---|---|---|---|---|---|---|
| updated_on | 0 | 1 | 2021-01-16 | 2021-08-16 | 2021-05-02 | 213 |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 |
|---|---|---|---|---|---|---|---|---|---|
| total_doses_administered | 0 | 1 | 8925818.70 | 36954732.30 | 0 | 112978 | 744565 | 6344469 | 513228400 |
| Sessions | 0 | 1 | 465552.07 | 1885710.25 | 0 | 4913 | 36345 | 326356 | 35010311 |
| Sites | 0 | 1 | 2217.69 | 7181.40 | 0 | 63 | 541 | 1642 | 73933 |
| first_dose_administered | 0 | 1 | 7202709.88 | 29547139.70 | 0 | 94796 | 617091 | 5174960 | 400150406 |
| second_dose_administered | 0 | 1 | 1723108.82 | 7467352.73 | 0 | 8724 | 120533 | 1105948 | 113077994 |
| male_doses_administered | 0 | 1 | 3442955.26 | 16966635.48 | 0 | 40781 | 336355 | 2571915 | 270163622 |
| female_doses_administered | 0 | 1 | 3013327.53 | 14793348.31 | 0 | 34788 | 288644 | 2390020 | 239518609 |
| transgender_doses_administered | 0 | 1 | 1106.05 | 5789.79 | 0 | 4 | 93 | 730 | 98275 |
| covaxin_doses | 0 | 1 | 1014840.65 | 4391675.40 | 0 | 0 | 6745 | 716471 | 62367416 |
| covishield_doses | 0 | 1 | 7894513.68 | 32537934.64 | 0 | 110588 | 682107 | 5737576 | 446825051 |
| sputnik_V_doses | 0 | 1 | 3686.22 | 27514.08 | 0 | 0 | 0 | 0 | 588039 |
| AEFI | 0 | 1 | 789.81 | 2923.75 | 0 | 0 | 129 | 534 | 26542 |
| males_vaccinated | 0 | 1 | 909967.99 | 8450777.43 | 0 | 0 | 0 | 0 | 134941971 |
| females_vaccinated | 0 | 1 | 805816.28 | 7407388.36 | 0 | 0 | 0 | 0 | 115668447 |
| transgender_vaccinated | 0 | 1 | 252.30 | 2493.48 | 0 | 0 | 0 | 0 | 46462 |
| total_vaccinated | 0 | 1 | 3431316.02 | 16051466.17 | 0 | 98 | 144305 | 1960495 | 250656880 |
skimr::skim_without_charts(testing)| Name | testing |
| Number of rows | 16335 |
| Number of columns | 6 |
| _______________________ | |
| Column type frequency: | |
| character | 2 |
| Date | 1 |
| numeric | 3 |
| ________________________ | |
| Group variables | None |
Variable type: character
| skim_variable | n_missing | complete_rate | min | max | empty | n_unique | whitespace |
|---|---|---|---|---|---|---|---|
| State | 0 | 1 | 3 | 40 | 0 | 36 | 0 |
| Month | 0 | 1 | 3 | 3 | 0 | 12 | 0 |
Variable type: Date
| skim_variable | n_missing | complete_rate | min | max | median | n_unique |
|---|---|---|---|---|---|---|
| Date | 0 | 1 | 2020-04-01 | 2021-08-10 | 2020-12-11 | 497 |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 |
|---|---|---|---|---|---|---|---|---|---|
| TotalSamples | 0 | 1 | 5376794.87 | 8780505.9 | 58 | 172973 | 931143 | 7285036.5 | 67897856 |
| Negative | 0 | 1 | 797206.03 | 2464546.2 | 0 | 0 | 0 | 295399.5 | 83561026 |
| Positive | 0 | 1 | 19593.08 | 102104.8 | 0 | 0 | 0 | 746.0 | 1638961 |
Comparing different columns of our dataframes with the dates.
aggregate(covid$Confirmed ~ covid$State_UT + covid$Date, FUN = mean)## covid$State_UT covid$Date covid$Confirmed
## 1 Kerala 2020-01-30 1
## 2 Kerala 2020-01-31 1
## 3 Kerala 2020-02-01 2
## 4 Kerala 2020-02-02 3
## 5 Kerala 2020-02-03 3
## 6 Kerala 2020-02-04 3
## 7 Kerala 2020-02-05 3
## 8 Kerala 2020-02-06 3
## 9 Kerala 2020-02-07 3
## 10 Kerala 2020-02-08 3
## 11 Kerala 2020-02-09 3
## 12 Kerala 2020-02-10 3
## 13 Kerala 2020-02-11 3
## 14 Kerala 2020-02-12 3
## 15 Kerala 2020-02-13 3
## 16 Kerala 2020-02-14 3
## 17 Kerala 2020-02-15 3
## 18 Kerala 2020-02-16 3
## 19 Kerala 2020-02-17 3
## 20 Kerala 2020-02-18 3
## 21 Kerala 2020-02-19 3
## 22 Kerala 2020-02-20 3
## 23 Kerala 2020-02-21 3
## 24 Kerala 2020-02-22 3
## 25 Kerala 2020-02-23 3
## 26 Kerala 2020-02-24 3
## 27 Kerala 2020-02-25 3
## 28 Kerala 2020-02-26 3
## 29 Kerala 2020-02-27 3
## 30 Kerala 2020-02-28 3
## 31 Kerala 2020-02-29 3
## 32 Kerala 2020-03-01 3
## 33 Delhi 2020-03-02 1
## 34 Kerala 2020-03-02 3
## 35 Telengana 2020-03-02 1
## 36 Delhi 2020-03-03 1
## 37 Kerala 2020-03-03 3
## 38 Rajasthan 2020-03-03 1
## 39 Telengana 2020-03-03 1
## 40 Delhi 2020-03-04 1
## 41 Haryana 2020-03-04 2
## 42 Kerala 2020-03-04 3
## 43 Rajasthan 2020-03-04 15
## 44 Telengana 2020-03-04 1
## 45 Uttar Pradesh 2020-03-04 6
## 46 Delhi 2020-03-05 2
## 47 Haryana 2020-03-05 2
## 48 Kerala 2020-03-05 3
## 49 Rajasthan 2020-03-05 15
## 50 Telengana 2020-03-05 1
## 51 Uttar Pradesh 2020-03-05 7
## 52 Delhi 2020-03-06 3
## 53 Haryana 2020-03-06 2
## 54 Kerala 2020-03-06 3
## 55 Rajasthan 2020-03-06 15
## 56 Telengana 2020-03-06 1
## 57 Uttar Pradesh 2020-03-06 7
## 58 Delhi 2020-03-07 3
## 59 Haryana 2020-03-07 2
## 60 Kerala 2020-03-07 3
## 61 Ladakh 2020-03-07 2
## 62 Rajasthan 2020-03-07 15
## 63 Tamil Nadu 2020-03-07 1
## 64 Telengana 2020-03-07 1
## 65 Uttar Pradesh 2020-03-07 7
## 66 Delhi 2020-03-08 3
## 67 Haryana 2020-03-08 2
## 68 Kerala 2020-03-08 8
## 69 Ladakh 2020-03-08 2
## 70 Rajasthan 2020-03-08 15
## 71 Tamil Nadu 2020-03-08 1
## 72 Telengana 2020-03-08 1
## 73 Uttar Pradesh 2020-03-08 7
## 74 Delhi 2020-03-09 4
## 75 Haryana 2020-03-09 2
## 76 Jammu and Kashmir 2020-03-09 1
## 77 Karnataka 2020-03-09 1
## 78 Kerala 2020-03-09 9
## 79 Ladakh 2020-03-09 2
## 80 Maharashtra 2020-03-09 2
## 81 Punjab 2020-03-09 1
## 82 Rajasthan 2020-03-09 15
## 83 Tamil Nadu 2020-03-09 1
## 84 Telengana 2020-03-09 1
## 85 Uttar Pradesh 2020-03-09 7
## 86 Delhi 2020-03-10 4
## 87 Haryana 2020-03-10 2
## 88 Jammu and Kashmir 2020-03-10 1
## 89 Karnataka 2020-03-10 4
## 90 Kerala 2020-03-10 15
## 91 Ladakh 2020-03-10 2
## 92 Maharashtra 2020-03-10 5
## 93 Punjab 2020-03-10 1
## 94 Rajasthan 2020-03-10 15
## 95 Tamil Nadu 2020-03-10 1
## 96 Telengana 2020-03-10 1
## 97 Uttar Pradesh 2020-03-10 7
## 98 Delhi 2020-03-11 5
## 99 Haryana 2020-03-11 14
## 100 Jammu and Kashmir 2020-03-11 1
## 101 Karnataka 2020-03-11 4
## 102 Kerala 2020-03-11 17
## 103 Ladakh 2020-03-11 2
## 104 Maharashtra 2020-03-11 2
## 105 Punjab 2020-03-11 1
## 106 Rajasthan 2020-03-11 3
## 107 Tamil Nadu 2020-03-11 1
## 108 Telengana 2020-03-11 1
## 109 Uttar Pradesh 2020-03-11 9
## 110 Andhra Pradesh 2020-03-12 1
## 111 Delhi 2020-03-12 6
## 112 Haryana 2020-03-12 14
## 113 Jammu and Kashmir 2020-03-12 1
## 114 Karnataka 2020-03-12 4
## 115 Kerala 2020-03-12 17
## 116 Ladakh 2020-03-12 3
## 117 Maharashtra 2020-03-12 11
## 118 Punjab 2020-03-12 1
## 119 Rajasthan 2020-03-12 3
## 120 Tamil Nadu 2020-03-12 1
## 121 Telengana 2020-03-12 1
## 122 Uttar Pradesh 2020-03-12 11
## 123 Andhra Pradesh 2020-03-13 1
## 124 Delhi 2020-03-13 6
## 125 Haryana 2020-03-13 14
## 126 Jammu and Kashmir 2020-03-13 1
## 127 Karnataka 2020-03-13 6
## 128 Kerala 2020-03-13 19
## 129 Ladakh 2020-03-13 3
## 130 Maharashtra 2020-03-13 14
## 131 Punjab 2020-03-13 1
## 132 Rajasthan 2020-03-13 3
## 133 Tamil Nadu 2020-03-13 1
## 134 Telengana 2020-03-13 1
## 135 Uttar Pradesh 2020-03-13 11
## 136 Andhra Pradesh 2020-03-14 1
## 137 Delhi 2020-03-14 7
## 138 Haryana 2020-03-14 14
## 139 Jammu and Kashmir 2020-03-14 2
## 140 Karnataka 2020-03-14 6
## 141 Kerala 2020-03-14 19
## 142 Ladakh 2020-03-14 3
## 143 Maharashtra 2020-03-14 14
## 144 Punjab 2020-03-14 1
## 145 Rajasthan 2020-03-14 3
## 146 Tamil Nadu 2020-03-14 1
## 147 Telengana 2020-03-14 1
## 148 Uttar Pradesh 2020-03-14 12
## 149 Andhra Pradesh 2020-03-15 1
## 150 Delhi 2020-03-15 7
## 151 Haryana 2020-03-15 14
## 152 Jammu and Kashmir 2020-03-15 2
## 153 Karnataka 2020-03-15 6
## 154 Kerala 2020-03-15 22
## 155 Ladakh 2020-03-15 3
## 156 Maharashtra 2020-03-15 32
## 157 Punjab 2020-03-15 1
## 158 Rajasthan 2020-03-15 4
## 159 Tamil Nadu 2020-03-15 1
## 160 Telengana 2020-03-15 3
## 161 Uttar Pradesh 2020-03-15 13
## 162 Uttarakhand 2020-03-15 1
## 163 Andhra Pradesh 2020-03-16 1
## 164 Delhi 2020-03-16 7
## 165 Haryana 2020-03-16 14
## 166 Jammu and Kashmir 2020-03-16 3
## 167 Karnataka 2020-03-16 6
## 168 Kerala 2020-03-16 23
## 169 Ladakh 2020-03-16 4
## 170 Maharashtra 2020-03-16 32
## 171 Odisha 2020-03-16 1
## 172 Punjab 2020-03-16 1
## 173 Rajasthan 2020-03-16 4
## 174 Tamil Nadu 2020-03-16 1
## 175 Telengana 2020-03-16 3
## 176 Uttar Pradesh 2020-03-16 13
## 177 Uttarakhand 2020-03-16 1
## 178 Andhra Pradesh 2020-03-17 1
## 179 Delhi 2020-03-17 8
## 180 Haryana 2020-03-17 15
## 181 Jammu and Kashmir 2020-03-17 3
## 182 Karnataka 2020-03-17 11
## 183 Kerala 2020-03-17 26
## 184 Ladakh 2020-03-17 6
## 185 Maharashtra 2020-03-17 39
## 186 Odisha 2020-03-17 1
## 187 Punjab 2020-03-17 1
## 188 Rajasthan 2020-03-17 4
## 189 Tamil Nadu 2020-03-17 1
## 190 Telengana 2020-03-17 5
## 191 Uttar Pradesh 2020-03-17 15
## 192 Uttarakhand 2020-03-17 1
## 193 Andhra Pradesh 2020-03-18 1
## 194 Delhi 2020-03-18 10
## 195 Haryana 2020-03-18 17
## 196 Jammu and Kashmir 2020-03-18 3
## 197 Karnataka 2020-03-18 11
## 198 Kerala 2020-03-18 27
## 199 Ladakh 2020-03-18 8
## 200 Maharashtra 2020-03-18 42
## 201 Odisha 2020-03-18 1
## 202 Puducherry 2020-03-18 1
## 203 Punjab 2020-03-18 1
## 204 Rajasthan 2020-03-18 4
## 205 Tamil Nadu 2020-03-18 1
## 206 Telengana 2020-03-18 6
## 207 Uttar Pradesh 2020-03-18 16
## 208 Uttarakhand 2020-03-18 1
## 209 West Bengal 2020-03-18 1
## 210 Andhra Pradesh 2020-03-19 2
## 211 Chandigarh 2020-03-19 1
## 212 Chhattisgarh 2020-03-19 1
## 213 Delhi 2020-03-19 12
## 214 Haryana 2020-03-19 17
## 215 Jammu and Kashmir 2020-03-19 4
## 216 Karnataka 2020-03-19 14
## 217 Kerala 2020-03-19 27
## 218 Ladakh 2020-03-19 8
## 219 Maharashtra 2020-03-19 47
## 220 Odisha 2020-03-19 1
## 221 Puducherry 2020-03-19 1
## 222 Punjab 2020-03-19 2
## 223 Rajasthan 2020-03-19 7
## 224 Tamil Nadu 2020-03-19 2
## 225 Telengana 2020-03-19 6
## 226 Uttar Pradesh 2020-03-19 19
## 227 Uttarakhand 2020-03-19 1
## 228 West Bengal 2020-03-19 1
## 229 Andhra Pradesh 2020-03-20 3
## 230 Chandigarh 2020-03-20 1
## 231 Chhattisgarh 2020-03-20 1
## 232 Delhi 2020-03-20 17
## 233 Gujarat 2020-03-20 5
## 234 Haryana 2020-03-20 17
## 235 Jammu and Kashmir 2020-03-20 4
## 236 Karnataka 2020-03-20 15
## 237 Kerala 2020-03-20 28
## 238 Ladakh 2020-03-20 10
## 239 Maharashtra 2020-03-20 52
## 240 Odisha 2020-03-20 2
## 241 Puducherry 2020-03-20 1
## 242 Punjab 2020-03-20 2
## 243 Rajasthan 2020-03-20 17
## 244 Tamil Nadu 2020-03-20 3
## 245 Telengana 2020-03-20 17
## 246 Uttar Pradesh 2020-03-20 23
## 247 Uttarakhand 2020-03-20 3
## 248 West Bengal 2020-03-20 2
## 249 Andhra Pradesh 2020-03-21 3
## 250 Chandigarh 2020-03-21 1
## 251 Chhattisgarh 2020-03-21 1
## 252 Delhi 2020-03-21 26
## 253 Gujarat 2020-03-21 7
## 254 Haryana 2020-03-21 17
## 255 Himachal Pradesh 2020-03-21 2
## 256 Jammu and Kashmir 2020-03-21 4
## 257 Karnataka 2020-03-21 15
## 258 Kerala 2020-03-21 40
## 259 Ladakh 2020-03-21 13
## 260 Madhya Pradesh 2020-03-21 4
## 261 Maharashtra 2020-03-21 63
## 262 Odisha 2020-03-21 2
## 263 Puducherry 2020-03-21 1
## 264 Punjab 2020-03-21 13
## 265 Rajasthan 2020-03-21 17
## 266 Tamil Nadu 2020-03-21 3
## 267 Telengana 2020-03-21 21
## 268 Uttar Pradesh 2020-03-21 24
## 269 Uttarakhand 2020-03-21 3
## 270 West Bengal 2020-03-21 3
## 271 Andhra Pradesh 2020-03-22 5
## 272 Bihar 2020-03-22 2
## 273 Chandigarh 2020-03-22 5
## 274 Chhattisgarh 2020-03-22 1
## 275 Delhi 2020-03-22 29
## 276 Gujarat 2020-03-22 18
## 277 Haryana 2020-03-22 21
## 278 Himachal Pradesh 2020-03-22 2
## 279 Jammu and Kashmir 2020-03-22 4
## 280 Karnataka 2020-03-22 26
## 281 Kerala 2020-03-22 52
## 282 Ladakh 2020-03-22 13
## 283 Madhya Pradesh 2020-03-22 4
## 284 Maharashtra 2020-03-22 67
## 285 Odisha 2020-03-22 2
## 286 Puducherry 2020-03-22 1
## 287 Punjab 2020-03-22 21
## 288 Rajasthan 2020-03-22 24
## 289 Tamil Nadu 2020-03-22 7
## 290 Telengana 2020-03-22 22
## 291 Uttar Pradesh 2020-03-22 27
## 292 Uttarakhand 2020-03-22 3
## 293 West Bengal 2020-03-22 4
## 294 Andhra Pradesh 2020-03-23 7
## 295 Bihar 2020-03-23 2
## 296 Chandigarh 2020-03-23 6
## 297 Chhattisgarh 2020-03-23 1
## 298 Delhi 2020-03-23 29
## 299 Gujarat 2020-03-23 29
## 300 Haryana 2020-03-23 26
## 301 Himachal Pradesh 2020-03-23 2
## 302 Jammu and Kashmir 2020-03-23 4
## 303 Karnataka 2020-03-23 33
## 304 Kerala 2020-03-23 67
## 305 Ladakh 2020-03-23 13
## 306 Madhya Pradesh 2020-03-23 6
## 307 Maharashtra 2020-03-23 74
## 308 Odisha 2020-03-23 2
## 309 Puducherry 2020-03-23 1
## 310 Punjab 2020-03-23 21
## 311 Rajasthan 2020-03-23 28
## 312 Tamil Nadu 2020-03-23 9
## 313 Telengana 2020-03-23 32
## 314 Uttar Pradesh 2020-03-23 31
## 315 Uttarakhand 2020-03-23 3
## 316 West Bengal 2020-03-23 7
## 317 Andhra Pradesh 2020-03-24 8
## 318 Bihar 2020-03-24 3
## 319 Chandigarh 2020-03-24 7
## 320 Chhattisgarh 2020-03-24 1
## 321 Delhi 2020-03-24 30
## 322 Gujarat 2020-03-24 33
## 323 Haryana 2020-03-24 28
## 324 Himachal Pradesh 2020-03-24 3
## 325 Jammu and Kashmir 2020-03-24 4
## 326 Karnataka 2020-03-24 37
## 327 Kerala 2020-03-24 95
## 328 Ladakh 2020-03-24 13
## 329 Madhya Pradesh 2020-03-24 7
## 330 Maharashtra 2020-03-24 89
## 331 Manipur 2020-03-24 1
## 332 Odisha 2020-03-24 2
## 333 Puducherry 2020-03-24 1
## 334 Punjab 2020-03-24 29
## 335 Rajasthan 2020-03-24 32
## 336 Tamil Nadu 2020-03-24 15
## 337 Telengana 2020-03-24 35
## 338 Uttar Pradesh 2020-03-24 33
## 339 Uttarakhand 2020-03-24 4
## 340 West Bengal 2020-03-24 9
## 341 Andhra Pradesh 2020-03-25 9
## 342 Bihar 2020-03-25 4
## 343 Chandigarh 2020-03-25 7
## 344 Chhattisgarh 2020-03-25 1
## 345 Delhi 2020-03-25 31
## 346 Gujarat 2020-03-25 38
## 347 Haryana 2020-03-25 28
## 348 Himachal Pradesh 2020-03-25 3
## 349 Jammu and Kashmir 2020-03-25 7
## 350 Karnataka 2020-03-25 41
## 351 Kerala 2020-03-25 109
## 352 Ladakh 2020-03-25 13
## 353 Madhya Pradesh 2020-03-25 14
## 354 Maharashtra 2020-03-25 128
## 355 Manipur 2020-03-25 1
## 356 Mizoram 2020-03-25 1
## 357 Odisha 2020-03-25 2
## 358 Puducherry 2020-03-25 1
## 359 Punjab 2020-03-25 29
## 360 Rajasthan 2020-03-25 36
## 361 Tamil Nadu 2020-03-25 18
## 362 Telengana 2020-03-25 35
## 363 Uttar Pradesh 2020-03-25 37
## 364 Uttarakhand 2020-03-25 4
## 365 West Bengal 2020-03-25 9
## 366 Andaman and Nicobar Islands 2020-03-26 1
## 367 Andhra Pradesh 2020-03-26 11
## 368 Bihar 2020-03-26 6
## 369 Chandigarh 2020-03-26 7
## 370 Chhattisgarh 2020-03-26 6
## 371 Delhi 2020-03-26 36
## 372 Goa 2020-03-26 3
## 373 Gujarat 2020-03-26 43
## 374 Haryana 2020-03-26 30
## 375 Himachal Pradesh 2020-03-26 3
## 376 Jammu and Kashmir 2020-03-26 13
## 377 Karnataka 2020-03-26 55
## 378 Kerala 2020-03-26 118
## 379 Ladakh 2020-03-26 13
## 380 Madhya Pradesh 2020-03-26 20
## 381 Maharashtra 2020-03-26 124
## 382 Manipur 2020-03-26 1
## 383 Mizoram 2020-03-26 1
## 384 Odisha 2020-03-26 2
## 385 Puducherry 2020-03-26 1
## 386 Punjab 2020-03-26 33
## 387 Rajasthan 2020-03-26 41
## 388 Tamil Nadu 2020-03-26 26
## 389 Telengana 2020-03-26 44
## 390 Uttar Pradesh 2020-03-26 41
## 391 Uttarakhand 2020-03-26 5
## 392 West Bengal 2020-03-26 10
## 393 Andaman and Nicobar Islands 2020-03-27 1
## 394 Andhra Pradesh 2020-03-27 12
## 395 Bihar 2020-03-27 6
## 396 Chandigarh 2020-03-27 7
## 397 Chhattisgarh 2020-03-27 6
## 398 Delhi 2020-03-27 36
## 399 Goa 2020-03-27 3
## 400 Gujarat 2020-03-27 43
## 401 Haryana 2020-03-27 30
## 402 Himachal Pradesh 2020-03-27 3
## 403 Jammu and Kashmir 2020-03-27 13
## 404 Karnataka 2020-03-27 55
## 405 Kerala 2020-03-27 137
## 406 Ladakh 2020-03-27 13
## 407 Madhya Pradesh 2020-03-27 20
## 408 Maharashtra 2020-03-27 130
## 409 Manipur 2020-03-27 1
## 410 Mizoram 2020-03-27 1
## 411 Odisha 2020-03-27 2
## 412 Puducherry 2020-03-27 1
## 413 Punjab 2020-03-27 33
## 414 Rajasthan 2020-03-27 41
## 415 Tamil Nadu 2020-03-27 29
## 416 Telengana 2020-03-27 45
## 417 Uttar Pradesh 2020-03-27 41
## 418 Uttarakhand 2020-03-27 5
## 419 West Bengal 2020-03-27 10
## 420 Andaman and Nicobar Islands 2020-03-28 6
## 421 Andhra Pradesh 2020-03-28 14
## 422 Bihar 2020-03-28 9
## 423 Chandigarh 2020-03-28 8
## 424 Chhattisgarh 2020-03-28 6
## 425 Delhi 2020-03-28 39
## 426 Goa 2020-03-28 3
## 427 Gujarat 2020-03-28 45
## 428 Haryana 2020-03-28 33
## 429 Himachal Pradesh 2020-03-28 3
## 430 Jammu and Kashmir 2020-03-28 20
## 431 Karnataka 2020-03-28 55
## 432 Kerala 2020-03-28 176
## 433 Ladakh 2020-03-28 13
## 434 Madhya Pradesh 2020-03-28 30
## 435 Maharashtra 2020-03-28 180
## 436 Manipur 2020-03-28 1
## 437 Mizoram 2020-03-28 1
## 438 Odisha 2020-03-28 3
## 439 Puducherry 2020-03-28 1
## 440 Punjab 2020-03-28 38
## 441 Rajasthan 2020-03-28 54
## 442 Tamil Nadu 2020-03-28 40
## 443 Telengana 2020-03-28 56
## 444 Uttar Pradesh 2020-03-28 55
## 445 Uttarakhand 2020-03-28 5
## 446 West Bengal 2020-03-28 15
## 447 Andaman and Nicobar Islands 2020-03-29 9
## 448 Andhra Pradesh 2020-03-29 19
## 449 Bihar 2020-03-29 11
## 450 Chandigarh 2020-03-29 8
## 451 Chhattisgarh 2020-03-29 7
## 452 Delhi 2020-03-29 49
## 453 Goa 2020-03-29 5
## 454 Gujarat 2020-03-29 58
## 455 Haryana 2020-03-29 33
## 456 Himachal Pradesh 2020-03-29 3
## 457 Jammu and Kashmir 2020-03-29 31
## 458 Karnataka 2020-03-29 76
## 459 Kerala 2020-03-29 182
## 460 Ladakh 2020-03-29 13
## 461 Madhya Pradesh 2020-03-29 30
## 462 Maharashtra 2020-03-29 186
## 463 Manipur 2020-03-29 1
## 464 Mizoram 2020-03-29 1
## 465 Odisha 2020-03-29 3
## 466 Puducherry 2020-03-29 1
## 467 Punjab 2020-03-29 38
## 468 Rajasthan 2020-03-29 55
## 469 Tamil Nadu 2020-03-29 49
## 470 Telengana 2020-03-29 66
## 471 Uttar Pradesh 2020-03-29 65
## 472 Uttarakhand 2020-03-29 7
## 473 West Bengal 2020-03-29 18
## 474 Andaman and Nicobar Islands 2020-03-30 9
## 475 Andhra Pradesh 2020-03-30 23
## 476 Bihar 2020-03-30 15
## 477 Chandigarh 2020-03-30 8
## 478 Chhattisgarh 2020-03-30 7
## 479 Delhi 2020-03-30 87
## 480 Goa 2020-03-30 5
## 481 Gujarat 2020-03-30 69
## 482 Haryana 2020-03-30 36
## 483 Himachal Pradesh 2020-03-30 3
## 484 Jammu and Kashmir 2020-03-30 48
## 485 Karnataka 2020-03-30 83
## 486 Kerala 2020-03-30 202
## 487 Ladakh 2020-03-30 13
## 488 Madhya Pradesh 2020-03-30 47
## 489 Maharashtra 2020-03-30 198
## 490 Manipur 2020-03-30 1
## 491 Mizoram 2020-03-30 1
## 492 Odisha 2020-03-30 3
## 493 Puducherry 2020-03-30 1
## 494 Punjab 2020-03-30 38
## 495 Rajasthan 2020-03-30 59
## 496 Tamil Nadu 2020-03-30 67
## 497 Telengana 2020-03-30 71
## 498 Unassigned 2020-03-30 46
## 499 Uttar Pradesh 2020-03-30 82
## 500 Uttarakhand 2020-03-30 7
## 501 West Bengal 2020-03-30 22
## 502 Andaman and Nicobar Islands 2020-03-31 10
## 503 Andhra Pradesh 2020-03-31 40
## 504 Bihar 2020-03-31 15
## 505 Chandigarh 2020-03-31 13
## 506 Chhattisgarh 2020-03-31 8
## 507 Delhi 2020-03-31 97
## 508 Goa 2020-03-31 5
## 509 Gujarat 2020-03-31 73
## 510 Haryana 2020-03-31 40
## 511 Himachal Pradesh 2020-03-31 3
## 512 Jammu and Kashmir 2020-03-31 54
## 513 Karnataka 2020-03-31 83
## 514 Kerala 2020-03-31 234
## 515 Ladakh 2020-03-31 13
## 516 Madhya Pradesh 2020-03-31 47
## 517 Maharashtra 2020-03-31 216
## 518 Manipur 2020-03-31 1
## 519 Mizoram 2020-03-31 1
## 520 Odisha 2020-03-31 3
## 521 Puducherry 2020-03-31 1
## 522 Punjab 2020-03-31 41
## 523 Rajasthan 2020-03-31 74
## 524 Tamil Nadu 2020-03-31 74
## 525 Telengana 2020-03-31 79
## 526 Unassigned 2020-03-31 38
## 527 Uttar Pradesh 2020-03-31 101
## 528 Uttarakhand 2020-03-31 7
## 529 West Bengal 2020-03-31 26
## 530 Andaman and Nicobar Islands 2020-04-01 10
## 531 Andhra Pradesh 2020-04-01 83
## 532 Assam 2020-04-01 1
## 533 Bihar 2020-04-01 23
## 534 Chandigarh 2020-04-01 16
## 535 Chhattisgarh 2020-04-01 9
## 536 Delhi 2020-04-01 152
## 537 Goa 2020-04-01 5
## 538 Gujarat 2020-04-01 82
## 539 Haryana 2020-04-01 43
## 540 Himachal Pradesh 2020-04-01 3
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## 1703 Uttarakhand 2020-05-07 61
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## 1731 Rajasthan 2020-05-08 3427
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## 1736 Uttarakhand 2020-05-08 61
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## 1780 Goa 2020-05-10 7
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## 1788 Ladakh 2020-05-10 42
## 1789 Madhya Pradesh 2020-05-10 3614
## 1790 Maharashtra 2020-05-10 20228
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## 1797 Rajasthan 2020-05-10 3708
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## 1799 Telengana 2020-05-10 1163
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## 1802 Uttarakhand 2020-05-10 67
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## 1804 Andaman and Nicobar Islands 2020-05-11 33
## 1805 Andhra Pradesh 2020-05-11 1980
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## 1813 Goa 2020-05-11 7
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## 1815 Haryana 2020-05-11 703
## 1816 Himachal Pradesh 2020-05-11 55
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## 1818 Jharkhand 2020-05-11 157
## 1819 Karnataka 2020-05-11 848
## 1820 Kerala 2020-05-11 512
## 1821 Ladakh 2020-05-11 42
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## 1823 Maharashtra 2020-05-11 22171
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## 1828 Puducherry 2020-05-11 9
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## 1830 Rajasthan 2020-05-11 3814
## 1831 Tamil Nadu 2020-05-11 7204
## 1832 Telengana 2020-05-11 1196
## 1833 Tripura 2020-05-11 150
## 1834 Uttar Pradesh 2020-05-11 3467
## 1835 Uttarakhand 2020-05-11 68
## 1836 West Bengal 2020-05-11 1939
## 1837 Andaman and Nicobar Islands 2020-05-12 33
## 1838 Andhra Pradesh 2020-05-12 2018
## 1839 Arunachal Pradesh 2020-05-12 1
## 1840 Assam 2020-05-12 65
## 1841 Bihar 2020-05-12 747
## 1842 Chandigarh 2020-05-12 174
## 1843 Chhattisgarh 2020-05-12 59
## 1844 Dadra and Nagar Haveli and Daman and Diu 2020-05-12 1
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## 1846 Goa 2020-05-12 7
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## 1848 Haryana 2020-05-12 730
## 1849 Himachal Pradesh 2020-05-12 59
## 1850 Jammu and Kashmir 2020-05-12 879
## 1851 Jharkhand 2020-05-12 160
## 1852 Karnataka 2020-05-12 862
## 1853 Kerala 2020-05-12 519
## 1854 Ladakh 2020-05-12 42
## 1855 Madhya Pradesh 2020-05-12 3785
## 1856 Maharashtra 2020-05-12 23401
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## 1858 Meghalaya 2020-05-12 13
## 1859 Mizoram 2020-05-12 1
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## 1861 Puducherry 2020-05-12 12
## 1862 Punjab 2020-05-12 1877
## 1863 Rajasthan 2020-05-12 3988
## 1864 Tamil Nadu 2020-05-12 8002
## 1865 Telengana 2020-05-12 1275
## 1866 Tripura 2020-05-12 152
## 1867 Uttar Pradesh 2020-05-12 3573
## 1868 Uttarakhand 2020-05-12 68
## 1869 West Bengal 2020-05-12 2063
## 1870 Andaman and Nicobar Islands 2020-05-13 33
## 1871 Andhra Pradesh 2020-05-13 2090
## 1872 Arunachal Pradesh 2020-05-13 1
## 1873 Assam 2020-05-13 65
## 1874 Bihar 2020-05-13 831
## 1875 Chandigarh 2020-05-13 187
## 1876 Chhattisgarh 2020-05-13 59
## 1877 Dadra and Nagar Haveli and Daman and Diu 2020-05-13 1
## 1878 Delhi 2020-05-13 7639
## 1879 Goa 2020-05-13 7
## 1880 Gujarat 2020-05-13 8903
## 1881 Haryana 2020-05-13 780
## 1882 Himachal Pradesh 2020-05-13 65
## 1883 Jammu and Kashmir 2020-05-13 934
## 1884 Jharkhand 2020-05-13 172
## 1885 Karnataka 2020-05-13 925
## 1886 Kerala 2020-05-13 524
## 1887 Ladakh 2020-05-13 42
## 1888 Madhya Pradesh 2020-05-13 3986
## 1889 Maharashtra 2020-05-13 24427
## 1890 Manipur 2020-05-13 2
## 1891 Meghalaya 2020-05-13 13
## 1892 Mizoram 2020-05-13 1
## 1893 Odisha 2020-05-13 437
## 1894 Puducherry 2020-05-13 13
## 1895 Punjab 2020-05-13 1914
## 1896 Rajasthan 2020-05-13 4126
## 1897 Tamil Nadu 2020-05-13 8718
## 1898 Telengana 2020-05-13 1326
## 1899 Tripura 2020-05-13 154
## 1900 Uttar Pradesh 2020-05-13 3664
## 1901 Uttarakhand 2020-05-13 69
## 1902 West Bengal 2020-05-13 2173
## 1903 Andaman and Nicobar Islands 2020-05-14 33
## 1904 Andhra Pradesh 2020-05-14 2137
## 1905 Arunachal Pradesh 2020-05-14 1
## 1906 Assam 2020-05-14 80
## 1907 Bihar 2020-05-14 940
## 1908 Chandigarh 2020-05-14 187
## 1909 Chhattisgarh 2020-05-14 59
## 1910 Dadra and Nagar Haveli and Daman and Diu 2020-05-14 1
## 1911 Delhi 2020-05-14 7998
## 1912 Goa 2020-05-14 7
## 1913 Gujarat 2020-05-14 9267
## 1914 Haryana 2020-05-14 793
## 1915 Himachal Pradesh 2020-05-14 66
## 1916 Jammu and Kashmir 2020-05-14 971
## 1917 Jharkhand 2020-05-14 173
## 1918 Karnataka 2020-05-14 959
## 1919 Kerala 2020-05-14 534
## 1920 Ladakh 2020-05-14 43
## 1921 Madhya Pradesh 2020-05-14 4173
## 1922 Maharashtra 2020-05-14 25922
## 1923 Manipur 2020-05-14 2
## 1924 Meghalaya 2020-05-14 13
## 1925 Mizoram 2020-05-14 1
## 1926 Odisha 2020-05-14 538
## 1927 Puducherry 2020-05-14 13
## 1928 Punjab 2020-05-14 1924
## 1929 Rajasthan 2020-05-14 4328
## 1930 Tamil Nadu 2020-05-14 9227
## 1931 Telengana 2020-05-14 1367
## 1932 Tripura 2020-05-14 155
## 1933 Uttar Pradesh 2020-05-14 3729
## 1934 Uttarakhand 2020-05-14 72
## 1935 West Bengal 2020-05-14 2290
## 1936 Andaman and Nicobar Islands 2020-05-15 33
## 1937 Andhra Pradesh 2020-05-15 2205
## 1938 Arunachal Pradesh 2020-05-15 1
## 1939 Assam 2020-05-15 87
## 1940 Bihar 2020-05-15 994
## 1941 Chandigarh 2020-05-15 191
## 1942 Chhattisgarh 2020-05-15 60
## 1943 Dadra and Nagar Haveli and Daman and Diu 2020-05-15 1
## 1944 Delhi 2020-05-15 8470
## 1945 Goa 2020-05-15 14
## 1946 Gujarat 2020-05-15 9591
## 1947 Haryana 2020-05-15 818
## 1948 Himachal Pradesh 2020-05-15 74
## 1949 Jammu and Kashmir 2020-05-15 983
## 1950 Jharkhand 2020-05-15 197
## 1951 Karnataka 2020-05-15 987
## 1952 Kerala 2020-05-15 560
## 1953 Ladakh 2020-05-15 43
## 1954 Madhya Pradesh 2020-05-15 4426
## 1955 Maharashtra 2020-05-15 27524
## 1956 Manipur 2020-05-15 3
## 1957 Meghalaya 2020-05-15 13
## 1958 Mizoram 2020-05-15 1
## 1959 Odisha 2020-05-15 611
## 1960 Puducherry 2020-05-15 13
## 1961 Punjab 2020-05-15 1935
## 1962 Rajasthan 2020-05-15 4534
## 1963 Tamil Nadu 2020-05-15 9674
## 1964 Telengana 2020-05-15 1414
## 1965 Tripura 2020-05-15 156
## 1966 Uttar Pradesh 2020-05-15 3902
## 1967 Uttarakhand 2020-05-15 78
## 1968 West Bengal 2020-05-15 2377
## 1969 Andaman and Nicobar Islands 2020-05-16 33
## 1970 Andhra Pradesh 2020-05-16 2307
## 1971 Arunachal Pradesh 2020-05-16 1
## 1972 Assam 2020-05-16 90
## 1973 Bihar 2020-05-16 1018
## 1974 Chandigarh 2020-05-16 191
## 1975 Chhattisgarh 2020-05-16 66
## 1976 Dadra and Nagar Haveli and Daman and Diu 2020-05-16 1
## 1977 Delhi 2020-05-16 8895
## 1978 Goa 2020-05-16 15
## 1979 Gujarat 2020-05-16 9931
## 1980 Haryana 2020-05-16 818
## 1981 Himachal Pradesh 2020-05-16 76
## 1982 Jammu and Kashmir 2020-05-16 1013
## 1983 Jharkhand 2020-05-16 203
## 1984 Karnataka 2020-05-16 1056
## 1985 Kerala 2020-05-16 576
## 1986 Ladakh 2020-05-16 43
## 1987 Madhya Pradesh 2020-05-16 4595
## 1988 Maharashtra 2020-05-16 29100
## 1989 Manipur 2020-05-16 3
## 1990 Meghalaya 2020-05-16 13
## 1991 Mizoram 2020-05-16 1
## 1992 Odisha 2020-05-16 672
## 1993 Puducherry 2020-05-16 13
## 1994 Punjab 2020-05-16 1935
## 1995 Rajasthan 2020-05-16 4727
## 1996 Tamil Nadu 2020-05-16 10108
## 1997 Telengana 2020-05-16 1454
## 1998 Tripura 2020-05-16 156
## 1999 Uttar Pradesh 2020-05-16 4057
## 2000 Uttarakhand 2020-05-16 82
## 2001 West Bengal 2020-05-16 2461
## 2002 Andaman and Nicobar Islands 2020-05-17 33
## 2003 Andhra Pradesh 2020-05-17 2355
## 2004 Arunachal Pradesh 2020-05-17 1
## 2005 Assam 2020-05-17 92
## 2006 Bihar 2020-05-17 1179
## 2007 Chandigarh 2020-05-17 191
## 2008 Chhattisgarh 2020-05-17 67
## 2009 Dadra and Nagar Haveli and Daman and Diu 2020-05-17 1
## 2010 Delhi 2020-05-17 9333
## 2011 Goa 2020-05-17 17
## 2012 Gujarat 2020-05-17 10988
## 2013 Haryana 2020-05-17 887
## 2014 Himachal Pradesh 2020-05-17 78
## 2015 Jammu and Kashmir 2020-05-17 1121
## 2016 Jharkhand 2020-05-17 217
## 2017 Karnataka 2020-05-17 1092
## 2018 Kerala 2020-05-17 587
## 2019 Ladakh 2020-05-17 43
## 2020 Madhya Pradesh 2020-05-17 4789
## 2021 Maharashtra 2020-05-17 30706
## 2022 Manipur 2020-05-17 7
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## 2029 Tamil Nadu 2020-05-17 10585
## 2030 Telengana 2020-05-17 1509
## 2031 Tripura 2020-05-17 167
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## 2033 Uttarakhand 2020-05-17 88
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## 2035 Andaman and Nicobar Islands 2020-05-18 33
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## 2051 Kerala 2020-05-18 601
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## 2101 Andaman and Nicobar Islands 2020-05-20 33
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## 2106 Cases being reassigned to states 2020-05-20 1096
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## 2118 Kerala 2020-05-20 642
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## 2129 Tamil Nadu 2020-05-20 12448
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## 2135 Andaman and Nicobar Islands 2020-05-21 33
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## 2137 Arunachal Pradesh 2020-05-21 1
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## 2139 Bihar 2020-05-21 1674
## 2140 Cases being reassigned to states 2020-05-21 1403
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## 2143 Dadra and Nagar Haveli and Daman and Diu 2020-05-21 1
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## 2145 Goa 2020-05-21 50
## 2146 Gujarat 2020-05-21 12537
## 2147 Haryana 2020-05-21 993
## 2148 Himachal Pradesh 2020-05-21 110
## 2149 Jammu and Kashmir 2020-05-21 1390
## 2150 Jharkhand 2020-05-21 231
## 2151 Karnataka 2020-05-21 1462
## 2152 Kerala 2020-05-21 666
## 2153 Ladakh 2020-05-21 44
## 2154 Madhya Pradesh 2020-05-21 5735
## 2155 Maharashtra 2020-05-21 39297
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## 2163 Tamil Nadu 2020-05-21 13191
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## 2169 Andaman and Nicobar Islands 2020-05-22 33
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## 2171 Arunachal Pradesh 2020-05-22 1
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## 2180 Gujarat 2020-05-22 12905
## 2181 Haryana 2020-05-22 1031
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## 2184 Jharkhand 2020-05-22 290
## 2185 Karnataka 2020-05-22 1605
## 2186 Kerala 2020-05-22 690
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## 2188 Madhya Pradesh 2020-05-22 5981
## 2189 Maharashtra 2020-05-22 41642
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## 2197 Tamil Nadu 2020-05-22 13967
## 2198 Telengana 2020-05-22 1699
## 2199 Tripura 2020-05-22 173
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## 2201 Uttarakhand 2020-05-22 146
## 2202 West Bengal 2020-05-22 3197
## 2203 Andaman and Nicobar Islands 2020-05-23 33
## 2204 Andhra Pradesh 2020-05-23 2709
## 2205 Arunachal Pradesh 2020-05-23 1
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## 2207 Bihar 2020-05-23 2177
## 2208 Cases being reassigned to states 2020-05-23 1899
## 2209 Chandigarh 2020-05-23 218
## 2210 Chhattisgarh 2020-05-23 172
## 2211 Dadra and Nagar Haveli and Daman and Diu 2020-05-23 1
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## 2213 Goa 2020-05-23 54
## 2214 Gujarat 2020-05-23 13268
## 2215 Haryana 2020-05-23 1067
## 2216 Himachal Pradesh 2020-05-23 168
## 2217 Jammu and Kashmir 2020-05-23 1489
## 2218 Jharkhand 2020-05-23 308
## 2219 Karnataka 2020-05-23 1743
## 2220 Kerala 2020-05-23 732
## 2221 Ladakh 2020-05-23 44
## 2222 Madhya Pradesh 2020-05-23 6170
## 2223 Maharashtra 2020-05-23 44582
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## 2225 Meghalaya 2020-05-23 14
## 2226 Mizoram 2020-05-23 1
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## 2228 Puducherry 2020-05-23 26
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## 2230 Rajasthan 2020-05-23 6494
## 2231 Tamil Nadu 2020-05-23 14753
## 2232 Telengana 2020-05-23 1761
## 2233 Tripura 2020-05-23 175
## 2234 Uttar Pradesh 2020-05-23 5735
## 2235 Uttarakhand 2020-05-23 153
## 2236 West Bengal 2020-05-23 3332
## 2237 Andaman and Nicobar Islands 2020-05-24 33
## 2238 Andhra Pradesh 2020-05-24 2757
## 2239 Arunachal Pradesh 2020-05-24 1
## 2240 Assam 2020-05-24 329
## 2241 Bihar 2020-05-24 2380
## 2242 Cases being reassigned to states 2020-05-24 2338
## 2243 Chandigarh 2020-05-24 225
## 2244 Chhattisgarh 2020-05-24 214
## 2245 Dadra and Nagar Haveli and Daman and Diu 2020-05-24 2
## 2246 Delhi 2020-05-24 12910
## 2247 Goa 2020-05-24 55
## 2248 Gujarat 2020-05-24 13664
## 2249 Haryana 2020-05-24 1131
## 2250 Himachal Pradesh 2020-05-24 185
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## 2792 Kerala 2020-06-08 1914
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## 2831 Maharashtra 2020-06-09 88528
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## 2934 Jammu and Kashmir 2020-06-12 4574
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## 2992 Andaman and Nicobar Islands 2020-06-14 38
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## 2998 Chandigarh 2020-06-14 345
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## 3002 Goa 2020-06-14 523
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## 3009 Kerala 2020-06-14 2407
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## 3011 Madhya Pradesh 2020-06-14 10641
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## 3032 Bihar 2020-06-15 6470
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## 3064 Andaman and Nicobar Islands 2020-06-16 41
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## 3068 Bihar 2020-06-16 6650
## 3069 Cases being reassigned to states 2020-06-16 7684
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## 3072 Dadra and Nagar Haveli and Daman and Diu 2020-06-16 36
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## 3082 Ladakh 2020-06-16 555
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## 3084 Maharashtra 2020-06-16 110744
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## 3092 Rajasthan 2020-06-16 12981
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## 3100 Andaman and Nicobar Islands 2020-06-17 44
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## 3104 Bihar 2020-06-17 6778
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## 3114 Jammu and Kashmir 2020-06-17 5298
## 3115 Jharkhand 2020-06-17 1839
## 3116 Karnataka 2020-06-17 7530
## 3117 Kerala 2020-06-17 2622
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## 3119 Madhya Pradesh 2020-06-17 11083
## 3120 Maharashtra 2020-06-17 113445
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## 3136 Andaman and Nicobar Islands 2020-06-18 44
## 3137 Andhra Pradesh 2020-06-18 7071
## 3138 Arunachal Pradesh 2020-06-18 99
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## 3140 Bihar 2020-06-18 6942
## 3141 Cases being reassigned to states 2020-06-18 8703
## 3142 Chandigarh 2020-06-18 368
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## 3153 Kerala 2020-06-18 2697
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## 3156 Maharashtra 2020-06-18 116752
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## 3172 Andaman and Nicobar Islands 2020-06-19 44
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## 3174 Arunachal Pradesh 2020-06-19 103
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## 3176 Bihar 2020-06-19 7025
## 3177 Cases being reassigned to states 2020-06-19 8927
## 3178 Chandigarh 2020-06-19 374
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## 3184 Haryana 2020-06-19 9218
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## 3188 Karnataka 2020-06-19 7944
## 3189 Kerala 2020-06-19 2794
## 3190 Ladakh 2020-06-19 687
## 3191 Madhya Pradesh 2020-06-19 11426
## 3192 Maharashtra 2020-06-19 120504
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## 3195 Mizoram 2020-06-19 130
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## 3200 Rajasthan 2020-06-19 13857
## 3201 Sikkim 2020-06-19 70
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## 3206 Uttarakhand 2020-06-19 2102
## 3207 West Bengal 2020-06-19 12735
## 3208 Andaman and Nicobar Islands 2020-06-20 45
## 3209 Andhra Pradesh 2020-06-20 7961
## 3210 Arunachal Pradesh 2020-06-20 103
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## 3212 Bihar 2020-06-20 7181
## 3213 Cases being reassigned to states 2020-06-20 9265
## 3214 Chandigarh 2020-06-20 381
## 3215 Chhattisgarh 2020-06-20 2028
## 3216 Dadra and Nagar Haveli and Daman and Diu 2020-06-20 62
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## 3218 Goa 2020-06-20 725
## 3219 Gujarat 2020-06-20 26141
## 3220 Haryana 2020-06-20 9743
## 3221 Himachal Pradesh 2020-06-20 619
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## 3223 Jharkhand 2020-06-20 1965
## 3224 Karnataka 2020-06-20 8281
## 3225 Kerala 2020-06-20 2912
## 3226 Ladakh 2020-06-20 744
## 3227 Madhya Pradesh 2020-06-20 11582
## 3228 Maharashtra 2020-06-20 124331
## 3229 Manipur 2020-06-20 681
## 3230 Meghalaya 2020-06-20 44
## 3231 Mizoram 2020-06-20 130
## 3232 Nagaland 2020-06-20 198
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## 3234 Puducherry 2020-06-20 286
## 3235 Punjab 2020-06-20 3832
## 3236 Rajasthan 2020-06-20 14156
## 3237 Sikkim 2020-06-20 70
## 3238 Tamil Nadu 2020-06-20 54449
## 3239 Telengana 2020-06-20 6526
## 3240 Tripura 2020-06-20 1178
## 3241 Uttar Pradesh 2020-06-20 15785
## 3242 Uttarakhand 2020-06-20 2177
## 3243 West Bengal 2020-06-20 13090
## 3244 Andaman and Nicobar Islands 2020-06-21 47
## 3245 Andhra Pradesh 2020-06-21 8452
## 3246 Arunachal Pradesh 2020-06-21 135
## 3247 Assam 2020-06-21 4904
## 3248 Bihar 2020-06-21 7533
## 3249 Cases being reassigned to states 2020-06-21 9127
## 3250 Chandigarh 2020-06-21 404
## 3251 Chhattisgarh 2020-06-21 2041
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## 3254 Goa 2020-06-21 754
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## 3256 Haryana 2020-06-21 10223
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## 3258 Jammu and Kashmir 2020-06-21 5834
## 3259 Jharkhand 2020-06-21 1965
## 3260 Karnataka 2020-06-21 8697
## 3261 Kerala 2020-06-21 3039
## 3262 Ladakh 2020-06-21 836
## 3263 Madhya Pradesh 2020-06-21 11724
## 3264 Maharashtra 2020-06-21 128205
## 3265 Manipur 2020-06-21 777
## 3266 Meghalaya 2020-06-21 44
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## 3268 Nagaland 2020-06-21 201
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## 3271 Punjab 2020-06-21 3952
## 3272 Rajasthan 2020-06-21 14536
## 3273 Sikkim 2020-06-21 70
## 3274 Tamil Nadu 2020-06-21 56845
## 3275 Telengana 2020-06-21 7072
## 3276 Tripura 2020-06-21 1186
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## 3278 Uttarakhand 2020-06-21 2301
## 3279 West Bengal 2020-06-21 13531
## 3280 Andaman and Nicobar Islands 2020-06-22 48
## 3281 Andhra Pradesh 2020-06-22 8999
## 3282 Arunachal Pradesh 2020-06-22 135
## 3283 Assam 2020-06-22 5388
## 3284 Bihar 2020-06-22 7612
## 3285 Cases being reassigned to states 2020-06-22 7832
## 3286 Chandigarh 2020-06-22 406
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## 3288 Dadra and Nagar Haveli and Daman and Diu 2020-06-22 88
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## 3290 Goa 2020-06-22 754
## 3291 Gujarat 2020-06-22 27260
## 3292 Haryana 2020-06-22 10635
## 3293 Himachal Pradesh 2020-06-22 673
## 3294 Jammu and Kashmir 2020-06-22 5956
## 3295 Jharkhand 2020-06-22 2073
## 3296 Karnataka 2020-06-22 9150
## 3297 Kerala 2020-06-22 3172
## 3298 Ladakh 2020-06-22 837
## 3299 Madhya Pradesh 2020-06-22 11903
## 3300 Maharashtra 2020-06-22 132075
## 3301 Manipur 2020-06-22 841
## 3302 Meghalaya 2020-06-22 44
## 3303 Mizoram 2020-06-22 141
## 3304 Nagaland 2020-06-22 211
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## 3306 Puducherry 2020-06-22 366
## 3307 Punjab 2020-06-22 4074
## 3308 Rajasthan 2020-06-22 14930
## 3309 Sikkim 2020-06-22 78
## 3310 Tamil Nadu 2020-06-22 59377
## 3311 Telengana 2020-06-22 7802
## 3312 Tripura 2020-06-22 1221
## 3313 Uttar Pradesh 2020-06-22 17731
## 3314 Uttarakhand 2020-06-22 2344
## 3315 West Bengal 2020-06-22 13945
## 3316 Andaman and Nicobar Islands 2020-06-23 48
## 3317 Andhra Pradesh 2020-06-23 9372
## 3318 Arunachal Pradesh 2020-06-23 139
## 3319 Assam 2020-06-23 5586
## 3320 Bihar 2020-06-23 7825
## 3321 Cases being reassigned to states 2020-06-23 8015
## 3322 Chandigarh 2020-06-23 411
## 3323 Chhattisgarh 2020-06-23 2303
## 3324 Dadra and Nagar Haveli and Daman and Diu 2020-06-23 91
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## 3326 Goa 2020-06-23 864
## 3327 Gujarat 2020-06-23 27825
## 3328 Haryana 2020-06-23 11025
## 3329 Himachal Pradesh 2020-06-23 727
## 3330 Jammu and Kashmir 2020-06-23 6088
## 3331 Jharkhand 2020-06-23 2137
## 3332 Karnataka 2020-06-23 9399
## 3333 Kerala 2020-06-23 3310
## 3334 Ladakh 2020-06-23 847
## 3335 Madhya Pradesh 2020-06-23 12078
## 3336 Maharashtra 2020-06-23 135796
## 3337 Manipur 2020-06-23 898
## 3338 Meghalaya 2020-06-23 44
## 3339 Mizoram 2020-06-23 141
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## 3342 Puducherry 2020-06-23 383
## 3343 Punjab 2020-06-23 4235
## 3344 Rajasthan 2020-06-23 15232
## 3345 Sikkim 2020-06-23 78
## 3346 Tamil Nadu 2020-06-23 62087
## 3347 Telengana 2020-06-23 8674
## 3348 Tripura 2020-06-23 1237
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## 3350 Uttarakhand 2020-06-23 2402
## 3351 West Bengal 2020-06-23 14358
## 3352 Andaman and Nicobar Islands 2020-06-24 50
## 3353 Andhra Pradesh 2020-06-24 10002
## 3354 Arunachal Pradesh 2020-06-24 148
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## 3357 Cases being reassigned to states 2020-06-24 8141
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## 3362 Goa 2020-06-24 909
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## 3364 Haryana 2020-06-24 11520
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## 3368 Karnataka 2020-06-24 9721
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## 3372 Maharashtra 2020-06-24 139010
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## 3424 Andaman and Nicobar Islands 2020-06-26 59
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## 3434 Goa 2020-06-26 995
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## 3515 Madhya Pradesh 2020-06-28 12965
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## 3526 Tamil Nadu 2020-06-28 78335
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## 3530 Uttarakhand 2020-06-28 2791
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## 3532 Andaman and Nicobar Islands 2020-06-29 76
## 3533 Andhra Pradesh 2020-06-29 13241
## 3534 Arunachal Pradesh 2020-06-29 182
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## 3536 Bihar 2020-06-29 9212
## 3537 Cases being reassigned to states 2020-06-29 7285
## 3538 Chandigarh 2020-06-29 429
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## 3540 Dadra and Nagar Haveli and Daman and Diu 2020-06-29 178
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## 3547 Jharkhand 2020-06-29 2364
## 3548 Karnataka 2020-06-29 13190
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## 3587 Madhya Pradesh 2020-06-30 13370
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## 3604 Andaman and Nicobar Islands 2020-07-01 97
## 3605 Andhra Pradesh 2020-07-01 14595
## 3606 Arunachal Pradesh 2020-07-01 191
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## 3608 Bihar 2020-07-01 10043
## 3609 Cases being reassigned to states 2020-07-01 6915
## 3610 Chandigarh 2020-07-01 440
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## 3620 Karnataka 2020-07-01 15242
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## 3638 Uttarakhand 2020-07-01 2881
## 3639 West Bengal 2020-07-01 18559
## 3640 Andaman and Nicobar Islands 2020-07-02 100
## 3641 Andhra Pradesh 2020-07-02 15252
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## 3644 Bihar 2020-07-02 10249
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## 3656 Karnataka 2020-07-02 16514
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## 3712 Andaman and Nicobar Islands 2020-07-04 116
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## 3714 Arunachal Pradesh 2020-07-04 252
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## 3748 Andaman and Nicobar Islands 2020-07-05 119
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## 3750 Arunachal Pradesh 2020-07-05 259
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## 3752 Bihar 2020-07-05 11700
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## 3784 Andaman and Nicobar Islands 2020-07-06 125
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## 3786 Arunachal Pradesh 2020-07-06 269
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## 3788 Bihar 2020-07-06 11876
## 3789 Cases being reassigned to states 2020-07-06 4913
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## 3802 Ladakh 2020-07-06 1005
## 3803 Madhya Pradesh 2020-07-06 14930
## 3804 Maharashtra 2020-07-06 206619
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## 3813 Sikkim 2020-07-06 123
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## 3816 Tripura 2020-07-06 1568
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## 3818 Uttarakhand 2020-07-06 3124
## 3819 West Bengal 2020-07-06 22126
## 3820 Andaman and Nicobar Islands 2020-07-07 141
## 3821 Andhra Pradesh 2020-07-07 20019
## 3822 Arunachal Pradesh 2020-07-07 270
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## 3824 Bihar 2020-07-07 12125
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## 3832 Haryana 2020-07-07 17504
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## 3836 Karnataka 2020-07-07 25317
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## 3838 Ladakh 2020-07-07 1005
## 3839 Madhya Pradesh 2020-07-07 15284
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## 3849 Sikkim 2020-07-07 125
## 3850 Tamil Nadu 2020-07-07 114978
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## 3852 Tripura 2020-07-07 1680
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## 3854 Uttarakhand 2020-07-07 3161
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## 3856 Andaman and Nicobar Islands 2020-07-08 147
## 3857 Andhra Pradesh 2020-07-08 21197
## 3858 Arunachal Pradesh 2020-07-08 276
## 3859 Assam 2020-07-08 12522
## 3860 Bihar 2020-07-08 12570
## 3861 Cases being reassigned to states 2020-07-08 5018
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## 3863 Chhattisgarh 2020-07-08 3415
## 3864 Dadra and Nagar Haveli and Daman and Diu 2020-07-08 405
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## 3868 Haryana 2020-07-08 17999
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## 3870 Jammu and Kashmir 2020-07-08 8931
## 3871 Jharkhand 2020-07-08 2996
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## 4034 Uttarakhand 2020-07-12 3417
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## 4036 Andaman and Nicobar Islands 2020-07-13 163
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## 4056 Maharashtra 2020-07-13 254427
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## 4065 Sikkim 2020-07-13 153
## 4066 Tamil Nadu 2020-07-13 138470
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## 4068 Tripura 2020-07-13 2054
## 4069 Uttar Pradesh 2020-07-13 36476
## 4070 Uttarakhand 2020-07-13 3537
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## 4072 Andaman and Nicobar Islands 2020-07-14 166
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## 4074 Arunachal Pradesh 2020-07-14 387
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## 4076 Bihar 2020-07-14 17959
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## 4084 Haryana 2020-07-14 21894
## 4085 Himachal Pradesh 2020-07-14 1243
## 4086 Jammu and Kashmir 2020-07-14 10827
## 4087 Jharkhand 2020-07-14 3898
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## 4108 Andaman and Nicobar Islands 2020-07-15 166
## 4109 Andhra Pradesh 2020-07-15 33019
## 4110 Arunachal Pradesh 2020-07-15 462
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## 4112 Bihar 2020-07-15 19284
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## 4124 Karnataka 2020-07-15 44077
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## 4141 Uttar Pradesh 2020-07-15 39724
## 4142 Uttarakhand 2020-07-15 3686
## 4143 West Bengal 2020-07-15 32838
## 4144 Andaman and Nicobar Islands 2020-07-16 176
## 4145 Andhra Pradesh 2020-07-16 35451
## 4146 Arunachal Pradesh 2020-07-16 462
## 4147 Assam 2020-07-16 18666
## 4148 Bihar 2020-07-16 20612
## 4149 Cases being reassigned to states 2020-07-16 1285
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## 4151 Chhattisgarh 2020-07-16 4539
## 4152 Dadra and Nagar Haveli and Daman and Diu 2020-07-16 539
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## 4158 Jammu and Kashmir 2020-07-16 11666
## 4159 Jharkhand 2020-07-16 4320
## 4160 Karnataka 2020-07-16 47253
## 4161 Kerala 2020-07-16 9553
## 4162 Ladakh 2020-07-16 1142
## 4163 Madhya Pradesh 2020-07-16 19643
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## 4176 Tripura 2020-07-16 2268
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## 4180 Andaman and Nicobar Islands 2020-07-17 180
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## 4182 Arunachal Pradesh 2020-07-17 543
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## 4184 Bihar 2020-07-17 21764
## 4185 Cases being reassigned to states 2020-07-17 531
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## 4198 Ladakh 2020-07-17 1147
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## 4200 Maharashtra 2020-07-17 284281
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## 4216 Andaman and Nicobar Islands 2020-07-18 194
## 4217 Andhra Pradesh 2020-07-18 40646
## 4218 Arunachal Pradesh 2020-07-18 609
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## 4234 Ladakh 2020-07-18 1151
## 4235 Madhya Pradesh 2020-07-18 21081
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## 4250 Uttarakhand 2020-07-18 4102
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## 4252 Andaman and Nicobar Islands 2020-07-19 198
## 4253 Andhra Pradesh 2020-07-19 44609
## 4254 Arunachal Pradesh 2020-07-19 650
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## 4287 Andaman and Nicobar Islands 2020-07-20 203
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## 4289 Arunachal Pradesh 2020-07-20 740
## 4290 Assam 2020-07-20 23999
## 4291 Bihar 2020-07-20 26569
## 4292 Chandigarh 2020-07-20 717
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## 4300 Jammu and Kashmir 2020-07-20 13899
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## 4306 Maharashtra 2020-07-20 310455
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## 4314 Rajasthan 2020-07-20 29434
## 4315 Sikkim 2020-07-20 283
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## 4317 Telengana 2020-07-20 45076
## 4318 Tripura 2020-07-20 2878
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## 4320 Uttarakhand 2020-07-20 4515
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## 4322 Andaman and Nicobar Islands 2020-07-21 207
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## 4324 Arunachal Pradesh 2020-07-21 790
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## 4335 Jammu and Kashmir 2020-07-21 14650
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## 4337 Karnataka 2020-07-21 67420
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## 4339 Ladakh 2020-07-21 1195
## 4340 Madhya Pradesh 2020-07-21 23310
## 4341 Maharashtra 2020-07-21 318695
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## 4350 Sikkim 2020-07-21 305
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## 4352 Telengana 2020-07-21 46274
## 4353 Tripura 2020-07-21 3079
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## 4355 Uttarakhand 2020-07-21 4642
## 4356 West Bengal 2020-07-21 44769
## 4357 Andaman and Nicobar Islands 2020-07-22 212
## 4358 Andhra Pradesh 2020-07-22 58668
## 4359 Arunachal Pradesh 2020-07-22 858
## 4360 Assam 2020-07-22 25382
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## 4367 Gujarat 2020-07-22 50379
## 4368 Haryana 2020-07-22 27462
## 4369 Himachal Pradesh 2020-07-22 1664
## 4370 Jammu and Kashmir 2020-07-22 15258
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## 4372 Karnataka 2020-07-22 71069
## 4373 Kerala 2020-07-22 13994
## 4374 Ladakh 2020-07-22 1198
## 4375 Madhya Pradesh 2020-07-22 24095
## 4376 Maharashtra 2020-07-22 327031
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## 4379 Mizoram 2020-07-22 317
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## 4384 Rajasthan 2020-07-22 31373
## 4385 Sikkim 2020-07-22 330
## 4386 Tamil Nadu 2020-07-22 180643
## 4387 Telengana 2020-07-22 47705
## 4388 Tripura 2020-07-22 3331
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## 4390 Uttarakhand 2020-07-22 4849
## 4391 West Bengal 2020-07-22 47030
## 4392 Andaman and Nicobar Islands 2020-07-23 221
## 4393 Andhra Pradesh 2020-07-23 64713
## 4394 Arunachal Pradesh 2020-07-23 949
## 4395 Assam 2020-07-23 26772
## 4396 Bihar 2020-07-23 30369
## 4397 Chandigarh 2020-07-23 793
## 4398 Chhattisgarh 2020-07-23 5968
## 4399 Dadra and Nagar Haveli and Daman and Diu 2020-07-23 733
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## 4401 Goa 2020-07-23 4176
## 4402 Gujarat 2020-07-23 51399
## 4403 Haryana 2020-07-23 28186
## 4404 Himachal Pradesh 2020-07-23 1725
## 4405 Jammu and Kashmir 2020-07-23 15711
## 4406 Jharkhand 2020-07-23 6485
## 4407 Karnataka 2020-07-23 75833
## 4408 Kerala 2020-07-23 15032
## 4409 Ladakh 2020-07-23 1206
## 4410 Madhya Pradesh 2020-07-23 24842
## 4411 Maharashtra 2020-07-23 337607
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## 4422 Telengana 2020-07-23 49259
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## 4429 Arunachal Pradesh 2020-07-24 991
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## 4602 Andaman and Nicobar Islands 2020-07-29 363
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## 4604 Arunachal Pradesh 2020-07-29 1330
## 4605 Assam 2020-07-29 34947
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## 4707 Andaman and Nicobar Islands 2020-08-01 548
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## 4779 Arunachal Pradesh 2020-08-03 1698
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## 4847 Andaman and Nicobar Islands 2020-08-05 928
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## 4882 Andaman and Nicobar Islands 2020-08-06 1027
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## 4917 Andaman and Nicobar Islands 2020-08-07 1123
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## 4919 Arunachal Pradesh 2020-08-07 1948
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## 4931 Jharkhand 2020-08-07 15756
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## 4935 Madhya Pradesh 2020-08-07 36564
## 4936 Maharashtra 2020-08-07 479779
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## 4950 Uttarakhand 2020-08-07 8552
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## 4954 Arunachal Pradesh 2020-08-08 2049
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## 5057 Andaman and Nicobar Islands 2020-08-11 1625
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## 5090 Uttarakhand 2020-08-11 10021
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## 5094 Arunachal Pradesh 2020-08-12 2327
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## 5125 Uttarakhand 2020-08-12 10432
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## 5127 Andaman and Nicobar Islands 2020-08-13 1900
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## 5129 Arunachal Pradesh 2020-08-13 2430
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## 5138 Haryana 2020-08-13 44024
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## 5144 Ladakh 2020-08-13 1811
## 5145 Madhya Pradesh 2020-08-13 41604
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## 5232 Andaman and Nicobar Islands 2020-08-16 2306
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## 5234 Arunachal Pradesh 2020-08-16 2658
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## 5267 Andaman and Nicobar Islands 2020-08-17 2399
## 5268 Andhra Pradesh 2020-08-17 289829
## 5269 Arunachal Pradesh 2020-08-17 2701
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## 5302 Andaman and Nicobar Islands 2020-08-18 2445
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## 5337 Andaman and Nicobar Islands 2020-08-19 2529
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## 5339 Arunachal Pradesh 2020-08-19 2875
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## 5372 Andaman and Nicobar Islands 2020-08-20 2604
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## 5374 Arunachal Pradesh 2020-08-20 2950
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## 5407 Andaman and Nicobar Islands 2020-08-21 2680
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## 5409 Arunachal Pradesh 2020-08-21 3066
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## 5442 Andaman and Nicobar Islands 2020-08-22 2747
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## 5444 Arunachal Pradesh 2020-08-22 3126
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## 5457 Karnataka 2020-08-22 264546
## 5458 Kerala 2020-08-22 54182
## 5459 Ladakh 2020-08-22 2133
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## 5470 Sikkim 2020-08-22 1336
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## 5472 Telengana 2020-08-22 101865
## 5473 Tripura 2020-08-22 8371
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## 5475 Uttarakhand 2020-08-22 14083
## 5476 West Bengal 2020-08-22 132364
## 5477 Andaman and Nicobar Islands 2020-08-23 2808
## 5478 Andhra Pradesh 2020-08-23 345216
## 5479 Arunachal Pradesh 2020-08-23 3223
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## 5584 Arunachal Pradesh 2020-08-26 3412
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## 5617 Andaman and Nicobar Islands 2020-08-27 2985
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## 5619 Arunachal Pradesh 2020-08-27 3555
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## 5631 Jharkhand 2020-08-27 33046
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## 5634 Ladakh 2020-08-27 2451
## 5635 Madhya Pradesh 2020-08-27 56864
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## 5651 West Bengal 2020-08-27 147775
## 5652 Andaman and Nicobar Islands 2020-08-28 3018
## 5653 Andhra Pradesh 2020-08-28 393090
## 5654 Arunachal Pradesh 2020-08-28 3633
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## 5757 Andaman and Nicobar Islands 2020-08-31 3104
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## 5759 Arunachal Pradesh 2020-08-31 4034
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## 5792 Andaman and Nicobar Islands 2020-09-01 3132
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## 5825 Uttarakhand 2020-09-01 19827
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## 5827 Andaman and Nicobar Islands 2020-09-02 3160
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## 5829 Arunachal Pradesh 2020-09-02 4212
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## 5845 Madhya Pradesh 2020-09-02 65490
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## 5862 Andaman and Nicobar Islands 2020-09-03 3186
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## 5864 Arunachal Pradesh 2020-09-03 4360
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## 5877 Karnataka 2020-09-03 361341
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## 5895 Uttarakhand 2020-09-03 21234
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## 5897 Andaman and Nicobar Islands 2020-09-04 3223
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## 5930 Uttarakhand 2020-09-04 22180
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## 5932 Andaman and Nicobar Islands 2020-09-05 3257
## 5933 Andhra Pradesh 2020-09-05 476506
## 5934 Arunachal Pradesh 2020-09-05 4775
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## 5950 Madhya Pradesh 2020-09-05 70244
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## 5965 Uttarakhand 2020-09-05 23011
## 5966 West Bengal 2020-09-05 174659
## 5967 Andaman and Nicobar Islands 2020-09-06 3292
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## 5969 Arunachal Pradesh 2020-09-06 4914
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## 5971 Bihar 2020-09-06 145832
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## 5981 Jharkhand 2020-09-06 49797
## 5982 Karnataka 2020-09-06 389232
## 5983 Kerala 2020-09-06 84759
## 5984 Ladakh 2020-09-06 2996
## 5985 Madhya Pradesh 2020-09-06 71880
## 5986 Maharashtra 2020-09-06 883862
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## 7540 Uttarakhand 2020-10-20 58360
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## 7542 Andaman and Nicobar Islands 2020-10-21 4141
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## 7544 Arunachal Pradesh 2020-10-21 13778
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## 7557 Karnataka 2020-10-21 776901
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## 8594 Arunachal Pradesh 2020-11-20 15976
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## 8609 Ladakh 2020-11-20 7714
## 8610 Madhya Pradesh 2020-11-20 188018
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## 8625 Uttarakhand 2020-11-20 69693
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## 8785 Madhya Pradesh 2020-11-25 196511
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## 8975 Uttarakhand 2020-11-30 74340
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## 8979 Arunachal Pradesh 2020-12-01 16282
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## 8995 Madhya Pradesh 2020-12-01 206128
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## 9014 Arunachal Pradesh 2020-12-02 16296
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## 9049 Arunachal Pradesh 2020-12-03 16320
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## 9084 Arunachal Pradesh 2020-12-04 16348
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## 9100 Madhya Pradesh 2020-12-04 210374
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## 9117 Andaman and Nicobar Islands 2020-12-05 4742
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## 9119 Arunachal Pradesh 2020-12-05 16367
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## 12785 Arunachal Pradesh 2021-03-17 16841
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## 1835 Uttarakhand 2020-05-11 46
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## 1848 Haryana 2020-05-12 337
## 1849 Himachal Pradesh 2020-05-12 39
## 1850 Jammu and Kashmir 2020-05-12 427
## 1851 Jharkhand 2020-05-12 78
## 1852 Karnataka 2020-05-12 426
## 1853 Kerala 2020-05-12 489
## 1854 Ladakh 2020-05-12 21
## 1855 Madhya Pradesh 2020-05-12 1747
## 1856 Maharashtra 2020-05-12 4786
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## 1863 Rajasthan 2020-05-12 2264
## 1864 Tamil Nadu 2020-05-12 2051
## 1865 Telengana 2020-05-12 800
## 1866 Tripura 2020-05-12 2
## 1867 Uttar Pradesh 2020-05-12 1758
## 1868 Uttarakhand 2020-05-12 46
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## 1879 Goa 2020-05-13 7
## 1880 Gujarat 2020-05-13 3246
## 1881 Haryana 2020-05-13 342
## 1882 Himachal Pradesh 2020-05-13 39
## 1883 Jammu and Kashmir 2020-05-13 455
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## 1885 Karnataka 2020-05-13 433
## 1886 Kerala 2020-05-13 489
## 1887 Ladakh 2020-05-13 21
## 1888 Madhya Pradesh 2020-05-13 1860
## 1889 Maharashtra 2020-05-13 5125
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## 1891 Meghalaya 2020-05-13 10
## 1892 Mizoram 2020-05-13 1
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## 1896 Rajasthan 2020-05-13 2378
## 1897 Tamil Nadu 2020-05-13 2134
## 1898 Telengana 2020-05-13 830
## 1899 Tripura 2020-05-13 2
## 1900 Uttar Pradesh 2020-05-13 1873
## 1901 Uttarakhand 2020-05-13 46
## 1902 West Bengal 2020-05-13 612
## 1903 Andaman and Nicobar Islands 2020-05-14 33
## 1904 Andhra Pradesh 2020-05-14 1142
## 1905 Arunachal Pradesh 2020-05-14 1
## 1906 Assam 2020-05-14 39
## 1907 Bihar 2020-05-14 388
## 1908 Chandigarh 2020-05-14 28
## 1909 Chhattisgarh 2020-05-14 55
## 1910 Dadra and Nagar Haveli and Daman and Diu 2020-05-14 0
## 1911 Delhi 2020-05-14 2858
## 1912 Goa 2020-05-14 7
## 1913 Gujarat 2020-05-14 3562
## 1914 Haryana 2020-05-14 418
## 1915 Himachal Pradesh 2020-05-14 39
## 1916 Jammu and Kashmir 2020-05-14 466
## 1917 Jharkhand 2020-05-14 79
## 1918 Karnataka 2020-05-14 451
## 1919 Kerala 2020-05-14 490
## 1920 Ladakh 2020-05-14 22
## 1921 Madhya Pradesh 2020-05-14 2004
## 1922 Maharashtra 2020-05-14 5547
## 1923 Manipur 2020-05-14 2
## 1924 Meghalaya 2020-05-14 10
## 1925 Mizoram 2020-05-14 1
## 1926 Odisha 2020-05-14 143
## 1927 Puducherry 2020-05-14 9
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## 1929 Rajasthan 2020-05-14 2459
## 1930 Tamil Nadu 2020-05-14 2176
## 1931 Telengana 2020-05-14 940
## 1932 Tripura 2020-05-14 16
## 1933 Uttar Pradesh 2020-05-14 1902
## 1934 Uttarakhand 2020-05-14 46
## 1935 West Bengal 2020-05-14 702
## 1936 Andaman and Nicobar Islands 2020-05-15 33
## 1937 Andhra Pradesh 2020-05-15 1192
## 1938 Arunachal Pradesh 2020-05-15 1
## 1939 Assam 2020-05-15 39
## 1940 Bihar 2020-05-15 411
## 1941 Chandigarh 2020-05-15 37
## 1942 Chhattisgarh 2020-05-15 56
## 1943 Dadra and Nagar Haveli and Daman and Diu 2020-05-15 0
## 1944 Delhi 2020-05-15 3045
## 1945 Goa 2020-05-15 7
## 1946 Gujarat 2020-05-15 3753
## 1947 Haryana 2020-05-15 439
## 1948 Himachal Pradesh 2020-05-15 39
## 1949 Jammu and Kashmir 2020-05-15 485
## 1950 Jharkhand 2020-05-15 87
## 1951 Karnataka 2020-05-15 460
## 1952 Kerala 2020-05-15 491
## 1953 Ladakh 2020-05-15 22
## 1954 Madhya Pradesh 2020-05-15 2171
## 1955 Maharashtra 2020-05-15 6059
## 1956 Manipur 2020-05-15 2
## 1957 Meghalaya 2020-05-15 11
## 1958 Mizoram 2020-05-15 1
## 1959 Odisha 2020-05-15 158
## 1960 Puducherry 2020-05-15 9
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## 1962 Rajasthan 2020-05-15 2580
## 1963 Tamil Nadu 2020-05-15 2240
## 1964 Telengana 2020-05-15 950
## 1965 Tripura 2020-05-15 29
## 1966 Uttar Pradesh 2020-05-15 2072
## 1967 Uttarakhand 2020-05-15 50
## 1968 West Bengal 2020-05-15 768
## 1969 Andaman and Nicobar Islands 2020-05-16 33
## 1970 Andhra Pradesh 2020-05-16 1252
## 1971 Arunachal Pradesh 2020-05-16 1
## 1972 Assam 2020-05-16 41
## 1973 Bihar 2020-05-16 438
## 1974 Chandigarh 2020-05-16 37
## 1975 Chhattisgarh 2020-05-16 56
## 1976 Dadra and Nagar Haveli and Daman and Diu 2020-05-16 0
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## 1978 Goa 2020-05-16 7
## 1979 Gujarat 2020-05-16 4035
## 1980 Haryana 2020-05-16 439
## 1981 Himachal Pradesh 2020-05-16 39
## 1982 Jammu and Kashmir 2020-05-16 513
## 1983 Jharkhand 2020-05-16 87
## 1984 Karnataka 2020-05-16 480
## 1985 Kerala 2020-05-16 492
## 1986 Ladakh 2020-05-16 22
## 1987 Madhya Pradesh 2020-05-16 2283
## 1988 Maharashtra 2020-05-16 6564
## 1989 Manipur 2020-05-16 2
## 1990 Meghalaya 2020-05-16 11
## 1991 Mizoram 2020-05-16 1
## 1992 Odisha 2020-05-16 166
## 1993 Puducherry 2020-05-16 9
## 1994 Punjab 2020-05-16 305
## 1995 Rajasthan 2020-05-16 2677
## 1996 Tamil Nadu 2020-05-16 2599
## 1997 Telengana 2020-05-16 959
## 1998 Tripura 2020-05-16 42
## 1999 Uttar Pradesh 2020-05-16 2165
## 2000 Uttarakhand 2020-05-16 51
## 2001 West Bengal 2020-05-16 829
## 2002 Andaman and Nicobar Islands 2020-05-17 33
## 2003 Andhra Pradesh 2020-05-17 1353
## 2004 Arunachal Pradesh 2020-05-17 1
## 2005 Assam 2020-05-17 41
## 2006 Bihar 2020-05-17 453
## 2007 Chandigarh 2020-05-17 51
## 2008 Chhattisgarh 2020-05-17 56
## 2009 Dadra and Nagar Haveli and Daman and Diu 2020-05-17 0
## 2010 Delhi 2020-05-17 3926
## 2011 Goa 2020-05-17 7
## 2012 Gujarat 2020-05-17 4308
## 2013 Haryana 2020-05-17 514
## 2014 Himachal Pradesh 2020-05-17 43
## 2015 Jammu and Kashmir 2020-05-17 542
## 2016 Jharkhand 2020-05-17 113
## 2017 Karnataka 2020-05-17 496
## 2018 Kerala 2020-05-17 495
## 2019 Ladakh 2020-05-17 22
## 2020 Madhya Pradesh 2020-05-17 2315
## 2021 Maharashtra 2020-05-17 7088
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## 2028 Rajasthan 2020-05-17 2839
## 2029 Tamil Nadu 2020-05-17 3538
## 2030 Telengana 2020-05-17 971
## 2031 Tripura 2020-05-17 64
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## 2033 Uttarakhand 2020-05-17 51
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## 2035 Andaman and Nicobar Islands 2020-05-18 33
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## 3224 Karnataka 2020-06-20 5210
## 3225 Kerala 2020-06-20 1511
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## 3228 Maharashtra 2020-06-20 62773
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## 3236 Rajasthan 2020-06-20 10997
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## 3242 Uttarakhand 2020-06-20 1433
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## 3245 Andhra Pradesh 2020-06-21 4111
## 3246 Arunachal Pradesh 2020-06-21 14
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## 3314 Uttarakhand 2020-06-22 1500
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## 3750 Arunachal Pradesh 2020-07-05 76
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## 4198 Ladakh 2020-07-17 970
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## 4218 Arunachal Pradesh 2020-07-18 175
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## 4223 Chhattisgarh 2020-07-18 3512
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## 4229 Himachal Pradesh 2020-07-18 1024
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## 4232 Karnataka 2020-07-18 20757
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## 4234 Ladakh 2020-07-18 973
## 4235 Madhya Pradesh 2020-07-18 14514
## 4236 Maharashtra 2020-07-18 160357
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## 4250 Uttarakhand 2020-07-18 3021
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## 4252 Andaman and Nicobar Islands 2020-07-19 145
## 4253 Andhra Pradesh 2020-07-19 21763
## 4254 Arunachal Pradesh 2020-07-19 274
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## 4258 Chhattisgarh 2020-07-19 3658
## 4259 Dadra and Nagar Haveli and Daman and Diu 2020-07-19 414
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## 4262 Gujarat 2020-07-19 34035
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## 4264 Himachal Pradesh 2020-07-19 1036
## 4265 Jammu and Kashmir 2020-07-19 7165
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## 4267 Karnataka 2020-07-19 21775
## 4268 Kerala 2020-07-19 5199
## 4269 Ladakh 2020-07-19 985
## 4270 Madhya Pradesh 2020-07-19 14864
## 4271 Maharashtra 2020-07-19 165663
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## 4285 Uttarakhand 2020-07-19 3081
## 4286 West Bengal 2020-07-19 23539
## 4287 Andaman and Nicobar Islands 2020-07-20 145
## 4288 Andhra Pradesh 2020-07-20 22890
## 4289 Arunachal Pradesh 2020-07-20 282
## 4290 Assam 2020-07-20 16023
## 4291 Bihar 2020-07-20 16308
## 4292 Chandigarh 2020-07-20 488
## 4293 Chhattisgarh 2020-07-20 3775
## 4294 Dadra and Nagar Haveli and Daman and Diu 2020-07-20 414
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## 4296 Goa 2020-07-20 2218
## 4297 Gujarat 2020-07-20 34901
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## 4304 Ladakh 2020-07-20 1003
## 4305 Madhya Pradesh 2020-07-20 15311
## 4306 Maharashtra 2020-07-20 169569
## 4307 Manipur 2020-07-20 1213
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## 4309 Mizoram 2020-07-20 167
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## 4312 Puducherry 2020-07-20 1154
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## 4315 Sikkim 2020-07-20 92
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## 4318 Tripura 2020-07-20 1759
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## 4320 Uttarakhand 2020-07-20 3116
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## 4322 Andaman and Nicobar Islands 2020-07-21 152
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## 4324 Arunachal Pradesh 2020-07-21 285
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## 4339 Ladakh 2020-07-21 1007
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## 4355 Uttarakhand 2020-07-21 3212
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## 4357 Andaman and Nicobar Islands 2020-07-22 159
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## 4359 Arunachal Pradesh 2020-07-22 303
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## 4388 Tripura 2020-07-22 1926
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## 4390 Uttarakhand 2020-07-22 3297
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## 4392 Andaman and Nicobar Islands 2020-07-23 163
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## 4394 Arunachal Pradesh 2020-07-23 314
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## 4427 Andaman and Nicobar Islands 2020-07-24 170
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## 4429 Arunachal Pradesh 2020-07-24 334
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## 4462 Andaman and Nicobar Islands 2020-07-25 174
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## 4495 Uttarakhand 2020-07-25 3399
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## 4497 Andaman and Nicobar Islands 2020-07-26 176
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## 4499 Arunachal Pradesh 2020-07-26 428
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## 4567 Andaman and Nicobar Islands 2020-07-28 192
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## 4585 Madhya Pradesh 2020-07-28 19791
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## 4602 Andaman and Nicobar Islands 2020-07-29 196
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## 4742 Andaman and Nicobar Islands 2020-08-02 226
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## 4744 Arunachal Pradesh 2020-08-02 969
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## 4812 Andaman and Nicobar Islands 2020-08-04 263
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## 4814 Arunachal Pradesh 2020-08-04 1063
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## 4830 Madhya Pradesh 2020-08-04 24099
## 4831 Maharashtra 2020-08-04 287030
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## 4842 Telengana 2020-08-04 49675
## 4843 Tripura 2020-08-04 3675
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## 4845 Uttarakhand 2020-08-04 4538
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## 4847 Andaman and Nicobar Islands 2020-08-05 277
## 4848 Andhra Pradesh 2020-08-05 95625
## 4849 Arunachal Pradesh 2020-08-05 1105
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## 4917 Andaman and Nicobar Islands 2020-08-07 355
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## 5024 Arunachal Pradesh 2020-08-10 1482
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## 5092 Andaman and Nicobar Islands 2020-08-12 749
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## 5094 Arunachal Pradesh 2020-08-12 1634
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## 5127 Andaman and Nicobar Islands 2020-08-13 829
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## 5129 Arunachal Pradesh 2020-08-13 1659
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## 5145 Madhya Pradesh 2020-08-13 31239
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## 5162 Andaman and Nicobar Islands 2020-08-14 924
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## 5232 Andaman and Nicobar Islands 2020-08-16 1128
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## 5234 Arunachal Pradesh 2020-08-16 1771
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## 5337 Andaman and Nicobar Islands 2020-08-19 1421
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## 5339 Arunachal Pradesh 2020-08-19 1949
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## 5352 Karnataka 2020-08-19 156949
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## 5355 Madhya Pradesh 2020-08-19 35713
## 5356 Maharashtra 2020-08-19 437870
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## 5368 Tripura 2020-08-19 5497
## 5369 Uttar Pradesh 2020-08-19 109607
## 5370 Uttarakhand 2020-08-19 8724
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## 5372 Andaman and Nicobar Islands 2020-08-20 1529
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## 5374 Arunachal Pradesh 2020-08-20 2022
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## 5389 Ladakh 2020-08-20 1397
## 5390 Madhya Pradesh 2020-08-20 36475
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## 5547 Andaman and Nicobar Islands 2020-08-25 2092
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## 5549 Arunachal Pradesh 2020-08-25 2427
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## 5582 Andaman and Nicobar Islands 2020-08-26 2231
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## 5584 Arunachal Pradesh 2020-08-26 2508
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## 5652 Andaman and Nicobar Islands 2020-08-28 2374
## 5653 Andhra Pradesh 2020-08-28 295248
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## 5689 Arunachal Pradesh 2020-08-29 2709
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## 5722 Andaman and Nicobar Islands 2020-08-30 2519
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## 5724 Arunachal Pradesh 2020-08-30 2754
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## 5757 Andaman and Nicobar Islands 2020-08-31 2586
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## 5759 Arunachal Pradesh 2020-08-31 2822
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## 5794 Arunachal Pradesh 2020-09-01 2885
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## 5827 Andaman and Nicobar Islands 2020-09-02 2714
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## 5829 Arunachal Pradesh 2020-09-02 2979
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## 5843 Kerala 2020-09-02 53649
## 5844 Ladakh 2020-09-02 1978
## 5845 Madhya Pradesh 2020-09-02 49992
## 5846 Maharashtra 2020-09-02 584537
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## 5862 Andaman and Nicobar Islands 2020-09-03 2758
## 5863 Andhra Pradesh 2020-09-03 348330
## 5864 Arunachal Pradesh 2020-09-03 3075
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## 5877 Karnataka 2020-09-03 260913
## 5878 Kerala 2020-09-03 55778
## 5879 Ladakh 2020-09-03 2007
## 5880 Madhya Pradesh 2020-09-03 51124
## 5881 Maharashtra 2020-09-03 598496
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## 5891 Tamil Nadu 2020-09-03 380063
## 5892 Telengana 2020-09-03 100013
## 5893 Tripura 2020-09-03 8033
## 5894 Uttar Pradesh 2020-09-03 181364
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## 7367 Andaman and Nicobar Islands 2020-10-16 3817
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## 7404 Arunachal Pradesh 2020-10-17 10071
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## 7435 Uttarakhand 2020-10-17 50521
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## 7437 Andaman and Nicobar Islands 2020-10-18 3848
## 7438 Andhra Pradesh 2020-10-18 735638
## 7439 Arunachal Pradesh 2020-10-18 10315
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## 7452 Karnataka 2020-10-18 637481
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## 7454 Ladakh 2020-10-18 4535
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## 8489 Arunachal Pradesh 2020-11-17 14588
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## 8944 Arunachal Pradesh 2020-11-30 15364
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## 8979 Arunachal Pradesh 2020-12-01 15411
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## 9010 Uttarakhand 2020-12-01 68505
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## 9012 Andaman and Nicobar Islands 2020-12-02 4566
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## 9014 Arunachal Pradesh 2020-12-02 15456
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## 9023 Haryana 2020-12-02 215797
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## 14225 Arunachal Pradesh 2021-04-26 16968
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## 8714 Ladakh 2020-11-23 100
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## 9240 Madhya Pradesh 2020-12-08 3347
## 9241 Maharashtra 2020-12-08 47774
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## 1681 Jharkhand 2021-03-02
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## 1866 Jharkhand 2021-03-07
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## 1890 Arunachal Pradesh 2021-03-08
## 1891 Assam 2021-03-08
## 1892 Bihar 2021-03-08
## 1893 Chandigarh 2021-03-08
## 1894 Chhattisgarh 2021-03-08
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## 1896 Delhi 2021-03-08
## 1897 Goa 2021-03-08
## 1898 Gujarat 2021-03-08
## 1899 Haryana 2021-03-08
## 1900 Himachal Pradesh 2021-03-08
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## 1902 Jammu and Kashmir 2021-03-08
## 1903 Jharkhand 2021-03-08
## 1904 Karnataka 2021-03-08
## 1905 Kerala 2021-03-08
## 1906 Ladakh 2021-03-08
## 1907 Lakshadweep 2021-03-08
## 1908 Madhya Pradesh 2021-03-08
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## 1910 Manipur 2021-03-08
## 1911 Meghalaya 2021-03-08
## 1912 Mizoram 2021-03-08
## 1913 Nagaland 2021-03-08
## 1914 Odisha 2021-03-08
## 1915 Puducherry 2021-03-08
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## 1917 Rajasthan 2021-03-08
## 1918 Sikkim 2021-03-08
## 1919 Tamil Nadu 2021-03-08
## 1920 Telangana 2021-03-08
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## 1924 West Bengal 2021-03-08
## 1925 Andaman and Nicobar Islands 2021-03-09
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## 1927 Arunachal Pradesh 2021-03-09
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## 1929 Bihar 2021-03-09
## 1930 Chandigarh 2021-03-09
## 1931 Chhattisgarh 2021-03-09
## 1932 Dadra and Nagar Haveli and Daman and Diu 2021-03-09
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## 1935 Gujarat 2021-03-09
## 1936 Haryana 2021-03-09
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## 1939 Jammu and Kashmir 2021-03-09
## 1940 Jharkhand 2021-03-09
## 1941 Karnataka 2021-03-09
## 1942 Kerala 2021-03-09
## 1943 Ladakh 2021-03-09
## 1944 Lakshadweep 2021-03-09
## 1945 Madhya Pradesh 2021-03-09
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## 1949 Mizoram 2021-03-09
## 1950 Nagaland 2021-03-09
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## 1952 Puducherry 2021-03-09
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## 1954 Rajasthan 2021-03-09
## 1955 Sikkim 2021-03-09
## 1956 Tamil Nadu 2021-03-09
## 1957 Telangana 2021-03-09
## 1958 Tripura 2021-03-09
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## 1960 Uttarakhand 2021-03-09
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## 1962 Andaman and Nicobar Islands 2021-03-10
## 1963 Andhra Pradesh 2021-03-10
## 1964 Arunachal Pradesh 2021-03-10
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## 1966 Bihar 2021-03-10
## 1967 Chandigarh 2021-03-10
## 1968 Chhattisgarh 2021-03-10
## 1969 Dadra and Nagar Haveli and Daman and Diu 2021-03-10
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## 1972 Gujarat 2021-03-10
## 1973 Haryana 2021-03-10
## 1974 Himachal Pradesh 2021-03-10
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## 1976 Jammu and Kashmir 2021-03-10
## 1977 Jharkhand 2021-03-10
## 1978 Karnataka 2021-03-10
## 1979 Kerala 2021-03-10
## 1980 Ladakh 2021-03-10
## 1981 Lakshadweep 2021-03-10
## 1982 Madhya Pradesh 2021-03-10
## 1983 Maharashtra 2021-03-10
## 1984 Manipur 2021-03-10
## 1985 Meghalaya 2021-03-10
## 1986 Mizoram 2021-03-10
## 1987 Nagaland 2021-03-10
## 1988 Odisha 2021-03-10
## 1989 Puducherry 2021-03-10
## 1990 Punjab 2021-03-10
## 1991 Rajasthan 2021-03-10
## 1992 Sikkim 2021-03-10
## 1993 Tamil Nadu 2021-03-10
## 1994 Telangana 2021-03-10
## 1995 Tripura 2021-03-10
## 1996 Uttar Pradesh 2021-03-10
## 1997 Uttarakhand 2021-03-10
## 1998 West Bengal 2021-03-10
## 1999 Andaman and Nicobar Islands 2021-03-11
## 2000 Andhra Pradesh 2021-03-11
## 2001 Arunachal Pradesh 2021-03-11
## 2002 Assam 2021-03-11
## 2003 Bihar 2021-03-11
## 2004 Chandigarh 2021-03-11
## 2005 Chhattisgarh 2021-03-11
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## 2007 Delhi 2021-03-11
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## 2010 Haryana 2021-03-11
## 2011 Himachal Pradesh 2021-03-11
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## 2013 Jammu and Kashmir 2021-03-11
## 2014 Jharkhand 2021-03-11
## 2015 Karnataka 2021-03-11
## 2016 Kerala 2021-03-11
## 2017 Ladakh 2021-03-11
## 2018 Lakshadweep 2021-03-11
## 2019 Madhya Pradesh 2021-03-11
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## 2918 Tamil Nadu 2021-04-04
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## 2920 Tripura 2021-04-04
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## 7822 Jammu and Kashmir 2021-08-15
## 7823 Jharkhand 2021-08-15
## 7824 Karnataka 2021-08-15
## 7825 Kerala 2021-08-15
## 7826 Ladakh 2021-08-15
## 7827 Lakshadweep 2021-08-15
## 7828 Madhya Pradesh 2021-08-15
## 7829 Maharashtra 2021-08-15
## 7830 Manipur 2021-08-15
## 7831 Meghalaya 2021-08-15
## 7832 Mizoram 2021-08-15
## 7833 Nagaland 2021-08-15
## 7834 Odisha 2021-08-15
## 7835 Puducherry 2021-08-15
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## 7837 Rajasthan 2021-08-15
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## 7841 Tripura 2021-08-15
## 7842 Uttar Pradesh 2021-08-15
## 7843 Uttarakhand 2021-08-15
## 7844 West Bengal 2021-08-15
## 7845 Delhi 2021-08-16
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## 1897 Goa 2021-03-08
## 1898 Gujarat 2021-03-08
## 1899 Haryana 2021-03-08
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## 1903 Jharkhand 2021-03-08
## 1904 Karnataka 2021-03-08
## 1905 Kerala 2021-03-08
## 1906 Ladakh 2021-03-08
## 1907 Lakshadweep 2021-03-08
## 1908 Madhya Pradesh 2021-03-08
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## 1910 Manipur 2021-03-08
## 1911 Meghalaya 2021-03-08
## 1912 Mizoram 2021-03-08
## 1913 Nagaland 2021-03-08
## 1914 Odisha 2021-03-08
## 1915 Puducherry 2021-03-08
## 1916 Punjab 2021-03-08
## 1917 Rajasthan 2021-03-08
## 1918 Sikkim 2021-03-08
## 1919 Tamil Nadu 2021-03-08
## 1920 Telangana 2021-03-08
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## 1924 West Bengal 2021-03-08
## 1925 Andaman and Nicobar Islands 2021-03-09
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## 1927 Arunachal Pradesh 2021-03-09
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## 1929 Bihar 2021-03-09
## 1930 Chandigarh 2021-03-09
## 1931 Chhattisgarh 2021-03-09
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## 1934 Goa 2021-03-09
## 1935 Gujarat 2021-03-09
## 1936 Haryana 2021-03-09
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## 1939 Jammu and Kashmir 2021-03-09
## 1940 Jharkhand 2021-03-09
## 1941 Karnataka 2021-03-09
## 1942 Kerala 2021-03-09
## 1943 Ladakh 2021-03-09
## 1944 Lakshadweep 2021-03-09
## 1945 Madhya Pradesh 2021-03-09
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## 1949 Mizoram 2021-03-09
## 1950 Nagaland 2021-03-09
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## 1952 Puducherry 2021-03-09
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## 1954 Rajasthan 2021-03-09
## 1955 Sikkim 2021-03-09
## 1956 Tamil Nadu 2021-03-09
## 1957 Telangana 2021-03-09
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## 1962 Andaman and Nicobar Islands 2021-03-10
## 1963 Andhra Pradesh 2021-03-10
## 1964 Arunachal Pradesh 2021-03-10
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## 1966 Bihar 2021-03-10
## 1967 Chandigarh 2021-03-10
## 1968 Chhattisgarh 2021-03-10
## 1969 Dadra and Nagar Haveli and Daman and Diu 2021-03-10
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## 1973 Haryana 2021-03-10
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## 1976 Jammu and Kashmir 2021-03-10
## 1977 Jharkhand 2021-03-10
## 1978 Karnataka 2021-03-10
## 1979 Kerala 2021-03-10
## 1980 Ladakh 2021-03-10
## 1981 Lakshadweep 2021-03-10
## 1982 Madhya Pradesh 2021-03-10
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## 1984 Manipur 2021-03-10
## 1985 Meghalaya 2021-03-10
## 1986 Mizoram 2021-03-10
## 1987 Nagaland 2021-03-10
## 1988 Odisha 2021-03-10
## 1989 Puducherry 2021-03-10
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## 1991 Rajasthan 2021-03-10
## 1992 Sikkim 2021-03-10
## 1993 Tamil Nadu 2021-03-10
## 1994 Telangana 2021-03-10
## 1995 Tripura 2021-03-10
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## 1997 Uttarakhand 2021-03-10
## 1998 West Bengal 2021-03-10
## 1999 Andaman and Nicobar Islands 2021-03-11
## 2000 Andhra Pradesh 2021-03-11
## 2001 Arunachal Pradesh 2021-03-11
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## 2003 Bihar 2021-03-11
## 2004 Chandigarh 2021-03-11
## 2005 Chhattisgarh 2021-03-11
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## 2010 Haryana 2021-03-11
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## 2014 Jharkhand 2021-03-11
## 2015 Karnataka 2021-03-11
## 2016 Kerala 2021-03-11
## 2017 Ladakh 2021-03-11
## 2018 Lakshadweep 2021-03-11
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## 2919 Telangana 2021-04-04
## 2920 Tripura 2021-04-04
## 2921 Uttar Pradesh 2021-04-04
## 2922 Uttarakhand 2021-04-04
## 2923 West Bengal 2021-04-04
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## 7828 Madhya Pradesh 2021-08-15
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## 7845 Delhi 2021-08-16
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## 7845 0aggregate(vaccine$Sites ~ vaccine$State + vaccine$updated_on, FUN = mean)## vaccine$State vaccine$updated_on vaccine$Sites
## 1 Andaman and Nicobar Islands 2021-01-16 2
## 2 Andhra Pradesh 2021-01-16 339
## 3 Arunachal Pradesh 2021-01-16 9
## 4 Assam 2021-01-16 64
## 5 Bihar 2021-01-16 219
## 6 Chandigarh 2021-01-16 5
## 7 Chhattisgarh 2021-01-16 98
## 8 Dadra and Nagar Haveli and Daman and Diu 2021-01-16 2
## 9 Delhi 2021-01-16 81
## 10 Goa 2021-01-16 7
## 11 Gujarat 2021-01-16 95
## 12 Haryana 2021-01-16 82
## 13 Himachal Pradesh 2021-01-16 30
## 14 India 2021-01-16 2957
## 15 Jammu and Kashmir 2021-01-16 37
## 16 Jharkhand 2021-01-16 53
## 17 Karnataka 2021-01-16 235
## 18 Kerala 2021-01-16 134
## 19 Ladakh 2021-01-16 1
## 20 Lakshadweep 2021-01-16 1
## 21 Madhya Pradesh 2021-01-16 156
## 22 Maharashtra 2021-01-16 174
## 23 Manipur 2021-01-16 10
## 24 Meghalaya 2021-01-16 10
## 25 Mizoram 2021-01-16 5
## 26 Nagaland 2021-01-16 9
## 27 Odisha 2021-01-16 127
## 28 Puducherry 2021-01-16 9
## 29 Punjab 2021-01-16 55
## 30 Rajasthan 2021-01-16 170
## 31 Sikkim 2021-01-16 2
## 32 Tamil Nadu 2021-01-16 149
## 33 Telangana 2021-01-16 102
## 34 Tripura 2021-01-16 18
## 35 Uttar Pradesh 2021-01-16 327
## 36 Uttarakhand 2021-01-16 33
## 37 West Bengal 2021-01-16 107
## 38 Andaman and Nicobar Islands 2021-01-17 2
## 39 Andhra Pradesh 2021-01-17 444
## 40 Arunachal Pradesh 2021-01-17 30
## 41 Assam 2021-01-17 68
## 42 Bihar 2021-01-17 304
## 43 Chandigarh 2021-01-17 5
## 44 Chhattisgarh 2021-01-17 102
## 45 Dadra and Nagar Haveli and Daman and Diu 2021-01-17 2
## 46 Delhi 2021-01-17 81
## 47 Goa 2021-01-17 7
## 48 Gujarat 2021-01-17 189
## 49 Haryana 2021-01-17 208
## 50 Himachal Pradesh 2021-01-17 89
## 51 India 2021-01-17 4954
## 52 Jammu and Kashmir 2021-01-17 40
## 53 Jharkhand 2021-01-17 62
## 54 Karnataka 2021-01-17 1139
## 55 Kerala 2021-01-17 156
## 56 Ladakh 2021-01-17 2
## 57 Lakshadweep 2021-01-17 9
## 58 Madhya Pradesh 2021-01-17 158
## 59 Maharashtra 2021-01-17 216
## 60 Manipur 2021-01-17 12
## 61 Meghalaya 2021-01-17 10
## 62 Mizoram 2021-01-17 6
## 63 Nagaland 2021-01-17 21
## 64 Odisha 2021-01-17 210
## 65 Puducherry 2021-01-17 9
## 66 Punjab 2021-01-17 66
## 67 Rajasthan 2021-01-17 199
## 68 Sikkim 2021-01-17 2
## 69 Tamil Nadu 2021-01-17 176
## 70 Telangana 2021-01-17 326
## 71 Tripura 2021-01-17 41
## 72 Uttar Pradesh 2021-01-17 330
## 73 Uttarakhand 2021-01-17 42
## 74 West Bengal 2021-01-17 191
## 75 Andaman and Nicobar Islands 2021-01-18 2
## 76 Andhra Pradesh 2021-01-18 581
## 77 Arunachal Pradesh 2021-01-18 50
## 78 Assam 2021-01-18 74
## 79 Bihar 2021-01-18 345
## 80 Chandigarh 2021-01-18 6
## 81 Chhattisgarh 2021-01-18 102
## 82 Dadra and Nagar Haveli and Daman and Diu 2021-01-18 4
## 83 Delhi 2021-01-18 82
## 84 Goa 2021-01-18 8
## 85 Gujarat 2021-01-18 287
## 86 Haryana 2021-01-18 294
## 87 Himachal Pradesh 2021-01-18 91
## 88 India 2021-01-18 6583
## 89 Jammu and Kashmir 2021-01-18 45
## 90 Jharkhand 2021-01-18 66
## 91 Karnataka 2021-01-18 1502
## 92 Kerala 2021-01-18 180
## 93 Ladakh 2021-01-18 3
## 94 Lakshadweep 2021-01-18 9
## 95 Madhya Pradesh 2021-01-18 158
## 96 Maharashtra 2021-01-18 320
## 97 Manipur 2021-01-18 15
## 98 Meghalaya 2021-01-18 13
## 99 Mizoram 2021-01-18 9
## 100 Nagaland 2021-01-18 53
## 101 Odisha 2021-01-18 314
## 102 Puducherry 2021-01-18 9
## 103 Punjab 2021-01-18 92
## 104 Rajasthan 2021-01-18 266
## 105 Sikkim 2021-01-18 3
## 106 Tamil Nadu 2021-01-18 201
## 107 Telangana 2021-01-18 708
## 108 Tripura 2021-01-18 65
## 109 Uttar Pradesh 2021-01-18 338
## 110 Uttarakhand 2021-01-18 47
## 111 West Bengal 2021-01-18 241
## 112 Andaman and Nicobar Islands 2021-01-19 2
## 113 Andhra Pradesh 2021-01-19 828
## 114 Arunachal Pradesh 2021-01-19 51
## 115 Assam 2021-01-19 78
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## 1899 Haryana 2021-03-08 2021
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## 1904 Karnataka 2021-03-08 6238
## 1905 Kerala 2021-03-08 1987
## 1906 Ladakh 2021-03-08 88
## 1907 Lakshadweep 2021-03-08 15
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## 1911 Meghalaya 2021-03-08 292
## 1912 Mizoram 2021-03-08 279
## 1913 Nagaland 2021-03-08 204
## 1914 Odisha 2021-03-08 1566
## 1915 Puducherry 2021-03-08 47
## 1916 Punjab 2021-03-08 786
## 1917 Rajasthan 2021-03-08 5807
## 1918 Sikkim 2021-03-08 83
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## 1921 Tripura 2021-03-08 375
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## 1923 Uttarakhand 2021-03-08 469
## 1924 West Bengal 2021-03-08 3085
## 1925 Andaman and Nicobar Islands 2021-03-09 5
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## 1927 Arunachal Pradesh 2021-03-09 48
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## 1930 Chandigarh 2021-03-09 39
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## 1936 Haryana 2021-03-09 744
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## 1939 Jammu and Kashmir 2021-03-09 822
## 1940 Jharkhand 2021-03-09 408
## 1941 Karnataka 2021-03-09 1144
## 1942 Kerala 2021-03-09 952
## 1943 Ladakh 2021-03-09 28
## 1944 Lakshadweep 2021-03-09 10
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## 1948 Meghalaya 2021-03-09 155
## 1949 Mizoram 2021-03-09 31
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## 1952 Puducherry 2021-03-09 31
## 1953 Punjab 2021-03-09 470
## 1954 Rajasthan 2021-03-09 1115
## 1955 Sikkim 2021-03-09 28
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## 1957 Telangana 2021-03-09 709
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## 1973 Haryana 2021-03-10 364
## 1974 Himachal Pradesh 2021-03-10 165
## 1975 India 2021-03-10 22885
## 1976 Jammu and Kashmir 2021-03-10 100
## 1977 Jharkhand 2021-03-10 491
## 1978 Karnataka 2021-03-10 2887
## 1979 Kerala 2021-03-10 435
## 1980 Ladakh 2021-03-10 22
## 1981 Lakshadweep 2021-03-10 5
## 1982 Madhya Pradesh 2021-03-10 927
## 1983 Maharashtra 2021-03-10 2844
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## 1986 Mizoram 2021-03-10 35
## 1987 Nagaland 2021-03-10 51
## 1988 Odisha 2021-03-10 504
## 1989 Puducherry 2021-03-10 32
## 1990 Punjab 2021-03-10 483
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## 1992 Sikkim 2021-03-10 39
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## 1994 Telangana 2021-03-10 605
## 1995 Tripura 2021-03-10 41
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## 1997 Uttarakhand 2021-03-10 204
## 1998 West Bengal 2021-03-10 2280
## 1999 Andaman and Nicobar Islands 2021-03-11 7
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## 2013 Jammu and Kashmir 2021-03-11 408
## 2014 Jharkhand 2021-03-11 502
## 2015 Karnataka 2021-03-11 624
## 2016 Kerala 2021-03-11 717
## 2017 Ladakh 2021-03-11 22
## 2018 Lakshadweep 2021-03-11 9
## 2019 Madhya Pradesh 2021-03-11 26
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## 1917 Rajasthan 2021-03-08
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## 1925 Andaman and Nicobar Islands 2021-03-09
## 1926 Andhra Pradesh 2021-03-09
## 1927 Arunachal Pradesh 2021-03-09
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## 1929 Bihar 2021-03-09
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## 1945 Madhya Pradesh 2021-03-09
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## 1951 Odisha 2021-03-09
## 1952 Puducherry 2021-03-09
## 1953 Punjab 2021-03-09
## 1954 Rajasthan 2021-03-09
## 1955 Sikkim 2021-03-09
## 1956 Tamil Nadu 2021-03-09
## 1957 Telangana 2021-03-09
## 1958 Tripura 2021-03-09
## 1959 Uttar Pradesh 2021-03-09
## 1960 Uttarakhand 2021-03-09
## 1961 West Bengal 2021-03-09
## 1962 Andaman and Nicobar Islands 2021-03-10
## 1963 Andhra Pradesh 2021-03-10
## 1964 Arunachal Pradesh 2021-03-10
## 1965 Assam 2021-03-10
## 1966 Bihar 2021-03-10
## 1967 Chandigarh 2021-03-10
## 1968 Chhattisgarh 2021-03-10
## 1969 Dadra and Nagar Haveli and Daman and Diu 2021-03-10
## 1970 Delhi 2021-03-10
## 1971 Goa 2021-03-10
## 1972 Gujarat 2021-03-10
## 1973 Haryana 2021-03-10
## 1974 Himachal Pradesh 2021-03-10
## 1975 India 2021-03-10
## 1976 Jammu and Kashmir 2021-03-10
## 1977 Jharkhand 2021-03-10
## 1978 Karnataka 2021-03-10
## 1979 Kerala 2021-03-10
## 1980 Ladakh 2021-03-10
## 1981 Lakshadweep 2021-03-10
## 1982 Madhya Pradesh 2021-03-10
## 1983 Maharashtra 2021-03-10
## 1984 Manipur 2021-03-10
## 1985 Meghalaya 2021-03-10
## 1986 Mizoram 2021-03-10
## 1987 Nagaland 2021-03-10
## 1988 Odisha 2021-03-10
## 1989 Puducherry 2021-03-10
## 1990 Punjab 2021-03-10
## 1991 Rajasthan 2021-03-10
## 1992 Sikkim 2021-03-10
## 1993 Tamil Nadu 2021-03-10
## 1994 Telangana 2021-03-10
## 1995 Tripura 2021-03-10
## 1996 Uttar Pradesh 2021-03-10
## 1997 Uttarakhand 2021-03-10
## 1998 West Bengal 2021-03-10
## 1999 Andaman and Nicobar Islands 2021-03-11
## 2000 Andhra Pradesh 2021-03-11
## 2001 Arunachal Pradesh 2021-03-11
## 2002 Assam 2021-03-11
## 2003 Bihar 2021-03-11
## 2004 Chandigarh 2021-03-11
## 2005 Chhattisgarh 2021-03-11
## 2006 Dadra and Nagar Haveli and Daman and Diu 2021-03-11
## 2007 Delhi 2021-03-11
## 2008 Goa 2021-03-11
## 2009 Gujarat 2021-03-11
## 2010 Haryana 2021-03-11
## 2011 Himachal Pradesh 2021-03-11
## 2012 India 2021-03-11
## 2013 Jammu and Kashmir 2021-03-11
## 2014 Jharkhand 2021-03-11
## 2015 Karnataka 2021-03-11
## 2016 Kerala 2021-03-11
## 2017 Ladakh 2021-03-11
## 2018 Lakshadweep 2021-03-11
## 2019 Madhya Pradesh 2021-03-11
## 2020 Maharashtra 2021-03-11
## 2021 Manipur 2021-03-11
## 2022 Meghalaya 2021-03-11
## 2023 Mizoram 2021-03-11
## 2024 Nagaland 2021-03-11
## 2025 Odisha 2021-03-11
## 2026 Puducherry 2021-03-11
## 2027 Punjab 2021-03-11
## 2028 Rajasthan 2021-03-11
## 2029 Sikkim 2021-03-11
## 2030 Tamil Nadu 2021-03-11
## 2031 Telangana 2021-03-11
## 2032 Tripura 2021-03-11
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## 2034 Uttarakhand 2021-03-11
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## 2039 Assam 2021-03-12
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## 2180 Tripura 2021-03-15
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## 2183 West Bengal 2021-03-15
## 2184 Andaman and Nicobar Islands 2021-03-16
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## 2217 Tripura 2021-03-16
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## 2291 Tripura 2021-03-18
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## 2295 Andaman and Nicobar Islands 2021-03-19
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## 2513 Tripura 2021-03-24
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## 3186 Assam 2021-04-12
## 3187 Bihar 2021-04-12
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## 7142 Andaman and Nicobar Islands 2021-07-28
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## 7476 Andhra Pradesh 2021-08-06
## 7477 Arunachal Pradesh 2021-08-06
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## 7845 0aggregate(vaccine$second_dose_administered ~ vaccine$State + vaccine$updated_on, FUN = mean)## vaccine$State vaccine$updated_on
## 1 Andaman and Nicobar Islands 2021-01-16
## 2 Andhra Pradesh 2021-01-16
## 3 Arunachal Pradesh 2021-01-16
## 4 Assam 2021-01-16
## 5 Bihar 2021-01-16
## 6 Chandigarh 2021-01-16
## 7 Chhattisgarh 2021-01-16
## 8 Dadra and Nagar Haveli and Daman and Diu 2021-01-16
## 9 Delhi 2021-01-16
## 10 Goa 2021-01-16
## 11 Gujarat 2021-01-16
## 12 Haryana 2021-01-16
## 13 Himachal Pradesh 2021-01-16
## 14 India 2021-01-16
## 15 Jammu and Kashmir 2021-01-16
## 16 Jharkhand 2021-01-16
## 17 Karnataka 2021-01-16
## 18 Kerala 2021-01-16
## 19 Ladakh 2021-01-16
## 20 Lakshadweep 2021-01-16
## 21 Madhya Pradesh 2021-01-16
## 22 Maharashtra 2021-01-16
## 23 Manipur 2021-01-16
## 24 Meghalaya 2021-01-16
## 25 Mizoram 2021-01-16
## 26 Nagaland 2021-01-16
## 27 Odisha 2021-01-16
## 28 Puducherry 2021-01-16
## 29 Punjab 2021-01-16
## 30 Rajasthan 2021-01-16
## 31 Sikkim 2021-01-16
## 32 Tamil Nadu 2021-01-16
## 33 Telangana 2021-01-16
## 34 Tripura 2021-01-16
## 35 Uttar Pradesh 2021-01-16
## 36 Uttarakhand 2021-01-16
## 37 West Bengal 2021-01-16
## 38 Andaman and Nicobar Islands 2021-01-17
## 39 Andhra Pradesh 2021-01-17
## 40 Arunachal Pradesh 2021-01-17
## 41 Assam 2021-01-17
## 42 Bihar 2021-01-17
## 43 Chandigarh 2021-01-17
## 44 Chhattisgarh 2021-01-17
## 45 Dadra and Nagar Haveli and Daman and Diu 2021-01-17
## 46 Delhi 2021-01-17
## 47 Goa 2021-01-17
## 48 Gujarat 2021-01-17
## 49 Haryana 2021-01-17
## 50 Himachal Pradesh 2021-01-17
## 51 India 2021-01-17
## 52 Jammu and Kashmir 2021-01-17
## 53 Jharkhand 2021-01-17
## 54 Karnataka 2021-01-17
## 55 Kerala 2021-01-17
## 56 Ladakh 2021-01-17
## 57 Lakshadweep 2021-01-17
## 58 Madhya Pradesh 2021-01-17
## 59 Maharashtra 2021-01-17
## 60 Manipur 2021-01-17
## 61 Meghalaya 2021-01-17
## 62 Mizoram 2021-01-17
## 63 Nagaland 2021-01-17
## 64 Odisha 2021-01-17
## 65 Puducherry 2021-01-17
## 66 Punjab 2021-01-17
## 67 Rajasthan 2021-01-17
## 68 Sikkim 2021-01-17
## 69 Tamil Nadu 2021-01-17
## 70 Telangana 2021-01-17
## 71 Tripura 2021-01-17
## 72 Uttar Pradesh 2021-01-17
## 73 Uttarakhand 2021-01-17
## 74 West Bengal 2021-01-17
## 75 Andaman and Nicobar Islands 2021-01-18
## 76 Andhra Pradesh 2021-01-18
## 77 Arunachal Pradesh 2021-01-18
## 78 Assam 2021-01-18
## 79 Bihar 2021-01-18
## 80 Chandigarh 2021-01-18
## 81 Chhattisgarh 2021-01-18
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## 1888 Andaman and Nicobar Islands 2021-03-08
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## 1890 Arunachal Pradesh 2021-03-08
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## 1892 Bihar 2021-03-08
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## 1899 Haryana 2021-03-08
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## 1906 Ladakh 2021-03-08
## 1907 Lakshadweep 2021-03-08
## 1908 Madhya Pradesh 2021-03-08
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## 1911 Meghalaya 2021-03-08
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## 1913 Nagaland 2021-03-08
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## 1917 Rajasthan 2021-03-08
## 1918 Sikkim 2021-03-08
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## 1920 Telangana 2021-03-08
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## 1925 Andaman and Nicobar Islands 2021-03-09
## 1926 Andhra Pradesh 2021-03-09
## 1927 Arunachal Pradesh 2021-03-09
## 1928 Assam 2021-03-09
## 1929 Bihar 2021-03-09
## 1930 Chandigarh 2021-03-09
## 1931 Chhattisgarh 2021-03-09
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## 1936 Haryana 2021-03-09
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## 1939 Jammu and Kashmir 2021-03-09
## 1940 Jharkhand 2021-03-09
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## 1942 Kerala 2021-03-09
## 1943 Ladakh 2021-03-09
## 1944 Lakshadweep 2021-03-09
## 1945 Madhya Pradesh 2021-03-09
## 1946 Maharashtra 2021-03-09
## 1947 Manipur 2021-03-09
## 1948 Meghalaya 2021-03-09
## 1949 Mizoram 2021-03-09
## 1950 Nagaland 2021-03-09
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## 1952 Puducherry 2021-03-09
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## 1954 Rajasthan 2021-03-09
## 1955 Sikkim 2021-03-09
## 1956 Tamil Nadu 2021-03-09
## 1957 Telangana 2021-03-09
## 1958 Tripura 2021-03-09
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## 1962 Andaman and Nicobar Islands 2021-03-10
## 1963 Andhra Pradesh 2021-03-10
## 1964 Arunachal Pradesh 2021-03-10
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## 1971 Goa 2021-03-10
## 1972 Gujarat 2021-03-10
## 1973 Haryana 2021-03-10
## 1974 Himachal Pradesh 2021-03-10
## 1975 India 2021-03-10
## 1976 Jammu and Kashmir 2021-03-10
## 1977 Jharkhand 2021-03-10
## 1978 Karnataka 2021-03-10
## 1979 Kerala 2021-03-10
## 1980 Ladakh 2021-03-10
## 1981 Lakshadweep 2021-03-10
## 1982 Madhya Pradesh 2021-03-10
## 1983 Maharashtra 2021-03-10
## 1984 Manipur 2021-03-10
## 1985 Meghalaya 2021-03-10
## 1986 Mizoram 2021-03-10
## 1987 Nagaland 2021-03-10
## 1988 Odisha 2021-03-10
## 1989 Puducherry 2021-03-10
## 1990 Punjab 2021-03-10
## 1991 Rajasthan 2021-03-10
## 1992 Sikkim 2021-03-10
## 1993 Tamil Nadu 2021-03-10
## 1994 Telangana 2021-03-10
## 1995 Tripura 2021-03-10
## 1996 Uttar Pradesh 2021-03-10
## 1997 Uttarakhand 2021-03-10
## 1998 West Bengal 2021-03-10
## 1999 Andaman and Nicobar Islands 2021-03-11
## 2000 Andhra Pradesh 2021-03-11
## 2001 Arunachal Pradesh 2021-03-11
## 2002 Assam 2021-03-11
## 2003 Bihar 2021-03-11
## 2004 Chandigarh 2021-03-11
## 2005 Chhattisgarh 2021-03-11
## 2006 Dadra and Nagar Haveli and Daman and Diu 2021-03-11
## 2007 Delhi 2021-03-11
## 2008 Goa 2021-03-11
## 2009 Gujarat 2021-03-11
## 2010 Haryana 2021-03-11
## 2011 Himachal Pradesh 2021-03-11
## 2012 India 2021-03-11
## 2013 Jammu and Kashmir 2021-03-11
## 2014 Jharkhand 2021-03-11
## 2015 Karnataka 2021-03-11
## 2016 Kerala 2021-03-11
## 2017 Ladakh 2021-03-11
## 2018 Lakshadweep 2021-03-11
## 2019 Madhya Pradesh 2021-03-11
## 2020 Maharashtra 2021-03-11
## 2021 Manipur 2021-03-11
## 2022 Meghalaya 2021-03-11
## 2023 Mizoram 2021-03-11
## 2024 Nagaland 2021-03-11
## 2025 Odisha 2021-03-11
## 2026 Puducherry 2021-03-11
## 2027 Punjab 2021-03-11
## 2028 Rajasthan 2021-03-11
## 2029 Sikkim 2021-03-11
## 2030 Tamil Nadu 2021-03-11
## 2031 Telangana 2021-03-11
## 2032 Tripura 2021-03-11
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## 2034 Uttarakhand 2021-03-11
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## 2291 Tripura 2021-03-18
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## 3204 Maharashtra 2021-04-12
## 3205 Manipur 2021-04-12
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## 3207 Mizoram 2021-04-12
## 3208 Nagaland 2021-04-12
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## 3216 Tripura 2021-04-12
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## 2 Andhra Pradesh 2021-01-16
## 3 Arunachal Pradesh 2021-01-16
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## 11 Gujarat 2021-01-16
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## 16 Jharkhand 2021-01-16
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## 157 Delhi 2021-01-20
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## 192 Chhattisgarh 2021-01-21
## 193 Dadra and Nagar Haveli and Daman and Diu 2021-01-21
## 194 Delhi 2021-01-21
## 195 Goa 2021-01-21
## 196 Gujarat 2021-01-21
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## 200 Jammu and Kashmir 2021-01-21
## 201 Jharkhand 2021-01-21
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## 205 Lakshadweep 2021-01-21
## 206 Madhya Pradesh 2021-01-21
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## 208 Manipur 2021-01-21
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## 215 Rajasthan 2021-01-21
## 216 Sikkim 2021-01-21
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## 223 Andaman and Nicobar Islands 2021-01-22
## 224 Andhra Pradesh 2021-01-22
## 225 Arunachal Pradesh 2021-01-22
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## 229 Chhattisgarh 2021-01-22
## 230 Dadra and Nagar Haveli and Daman and Diu 2021-01-22
## 231 Delhi 2021-01-22
## 232 Goa 2021-01-22
## 233 Gujarat 2021-01-22
## 234 Haryana 2021-01-22
## 235 Himachal Pradesh 2021-01-22
## 236 India 2021-01-22
## 237 Jammu and Kashmir 2021-01-22
## 238 Jharkhand 2021-01-22
## 239 Karnataka 2021-01-22
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## 241 Ladakh 2021-01-22
## 242 Lakshadweep 2021-01-22
## 243 Madhya Pradesh 2021-01-22
## 244 Maharashtra 2021-01-22
## 245 Manipur 2021-01-22
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## 247 Mizoram 2021-01-22
## 248 Nagaland 2021-01-22
## 249 Odisha 2021-01-22
## 250 Puducherry 2021-01-22
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## 252 Rajasthan 2021-01-22
## 253 Sikkim 2021-01-22
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## 255 Telangana 2021-01-22
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## 260 Andaman and Nicobar Islands 2021-01-23
## 261 Andhra Pradesh 2021-01-23
## 262 Arunachal Pradesh 2021-01-23
## 263 Assam 2021-01-23
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## 265 Chandigarh 2021-01-23
## 266 Chhattisgarh 2021-01-23
## 267 Dadra and Nagar Haveli and Daman and Diu 2021-01-23
## 268 Delhi 2021-01-23
## 269 Goa 2021-01-23
## 270 Gujarat 2021-01-23
## 271 Haryana 2021-01-23
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## 274 Jammu and Kashmir 2021-01-23
## 275 Jharkhand 2021-01-23
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## 297 Andaman and Nicobar Islands 2021-01-24
## 298 Andhra Pradesh 2021-01-24
## 299 Arunachal Pradesh 2021-01-24
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## 301 Bihar 2021-01-24
## 302 Chandigarh 2021-01-24
## 303 Chhattisgarh 2021-01-24
## 304 Dadra and Nagar Haveli and Daman and Diu 2021-01-24
## 305 Delhi 2021-01-24
## 306 Goa 2021-01-24
## 307 Gujarat 2021-01-24
## 308 Haryana 2021-01-24
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## 311 Jammu and Kashmir 2021-01-24
## 312 Jharkhand 2021-01-24
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## 334 Andaman and Nicobar Islands 2021-01-25
## 335 Andhra Pradesh 2021-01-25
## 336 Arunachal Pradesh 2021-01-25
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## 339 Chandigarh 2021-01-25
## 340 Chhattisgarh 2021-01-25
## 341 Dadra and Nagar Haveli and Daman and Diu 2021-01-25
## 342 Delhi 2021-01-25
## 343 Goa 2021-01-25
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## 348 Jammu and Kashmir 2021-01-25
## 349 Jharkhand 2021-01-25
## 350 Karnataka 2021-01-25
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## 1603 Haryana 2021-02-28
## 1604 Himachal Pradesh 2021-02-28
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## 1606 Jammu and Kashmir 2021-02-28
## 1607 Jharkhand 2021-02-28
## 1608 Karnataka 2021-02-28
## 1609 Kerala 2021-02-28
## 1610 Ladakh 2021-02-28
## 1611 Lakshadweep 2021-02-28
## 1612 Madhya Pradesh 2021-02-28
## 1613 Maharashtra 2021-02-28
## 1614 Manipur 2021-02-28
## 1615 Meghalaya 2021-02-28
## 1616 Mizoram 2021-02-28
## 1617 Nagaland 2021-02-28
## 1618 Odisha 2021-02-28
## 1619 Puducherry 2021-02-28
## 1620 Punjab 2021-02-28
## 1621 Rajasthan 2021-02-28
## 1622 Sikkim 2021-02-28
## 1623 Tamil Nadu 2021-02-28
## 1624 Telangana 2021-02-28
## 1625 Tripura 2021-02-28
## 1626 Uttar Pradesh 2021-02-28
## 1627 Uttarakhand 2021-02-28
## 1628 West Bengal 2021-02-28
## 1629 Andaman and Nicobar Islands 2021-03-01
## 1630 Andhra Pradesh 2021-03-01
## 1631 Arunachal Pradesh 2021-03-01
## 1632 Assam 2021-03-01
## 1633 Bihar 2021-03-01
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## 1635 Chhattisgarh 2021-03-01
## 1636 Dadra and Nagar Haveli and Daman and Diu 2021-03-01
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## 1814 Andaman and Nicobar Islands 2021-03-06
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## 1816 Arunachal Pradesh 2021-03-06
## 1817 Assam 2021-03-06
## 1818 Bihar 2021-03-06
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## 1823 Goa 2021-03-06
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## 1825 Haryana 2021-03-06
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## 1828 Jammu and Kashmir 2021-03-06
## 1829 Jharkhand 2021-03-06
## 1830 Karnataka 2021-03-06
## 1831 Kerala 2021-03-06
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## 1846 Telangana 2021-03-06
## 1847 Tripura 2021-03-06
## 1848 Uttar Pradesh 2021-03-06
## 1849 Uttarakhand 2021-03-06
## 1850 West Bengal 2021-03-06
## 1851 Andaman and Nicobar Islands 2021-03-07
## 1852 Andhra Pradesh 2021-03-07
## 1853 Arunachal Pradesh 2021-03-07
## 1854 Assam 2021-03-07
## 1855 Bihar 2021-03-07
## 1856 Chandigarh 2021-03-07
## 1857 Chhattisgarh 2021-03-07
## 1858 Dadra and Nagar Haveli and Daman and Diu 2021-03-07
## 1859 Delhi 2021-03-07
## 1860 Goa 2021-03-07
## 1861 Gujarat 2021-03-07
## 1862 Haryana 2021-03-07
## 1863 Himachal Pradesh 2021-03-07
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## 1865 Jammu and Kashmir 2021-03-07
## 1866 Jharkhand 2021-03-07
## 1867 Karnataka 2021-03-07
## 1868 Kerala 2021-03-07
## 1869 Ladakh 2021-03-07
## 1870 Lakshadweep 2021-03-07
## 1871 Madhya Pradesh 2021-03-07
## 1872 Maharashtra 2021-03-07
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## 1874 Meghalaya 2021-03-07
## 1875 Mizoram 2021-03-07
## 1876 Nagaland 2021-03-07
## 1877 Odisha 2021-03-07
## 1878 Puducherry 2021-03-07
## 1879 Punjab 2021-03-07
## 1880 Rajasthan 2021-03-07
## 1881 Sikkim 2021-03-07
## 1882 Tamil Nadu 2021-03-07
## 1883 Telangana 2021-03-07
## 1884 Tripura 2021-03-07
## 1885 Uttar Pradesh 2021-03-07
## 1886 Uttarakhand 2021-03-07
## 1887 West Bengal 2021-03-07
## 1888 Andaman and Nicobar Islands 2021-03-08
## 1889 Andhra Pradesh 2021-03-08
## 1890 Arunachal Pradesh 2021-03-08
## 1891 Assam 2021-03-08
## 1892 Bihar 2021-03-08
## 1893 Chandigarh 2021-03-08
## 1894 Chhattisgarh 2021-03-08
## 1895 Dadra and Nagar Haveli and Daman and Diu 2021-03-08
## 1896 Delhi 2021-03-08
## 1897 Goa 2021-03-08
## 1898 Gujarat 2021-03-08
## 1899 Haryana 2021-03-08
## 1900 Himachal Pradesh 2021-03-08
## 1901 India 2021-03-08
## 1902 Jammu and Kashmir 2021-03-08
## 1903 Jharkhand 2021-03-08
## 1904 Karnataka 2021-03-08
## 1905 Kerala 2021-03-08
## 1906 Ladakh 2021-03-08
## 1907 Lakshadweep 2021-03-08
## 1908 Madhya Pradesh 2021-03-08
## 1909 Maharashtra 2021-03-08
## 1910 Manipur 2021-03-08
## 1911 Meghalaya 2021-03-08
## 1912 Mizoram 2021-03-08
## 1913 Nagaland 2021-03-08
## 1914 Odisha 2021-03-08
## 1915 Puducherry 2021-03-08
## 1916 Punjab 2021-03-08
## 1917 Rajasthan 2021-03-08
## 1918 Sikkim 2021-03-08
## 1919 Tamil Nadu 2021-03-08
## 1920 Telangana 2021-03-08
## 1921 Tripura 2021-03-08
## 1922 Uttar Pradesh 2021-03-08
## 1923 Uttarakhand 2021-03-08
## 1924 West Bengal 2021-03-08
## 1925 Andaman and Nicobar Islands 2021-03-09
## 1926 Andhra Pradesh 2021-03-09
## 1927 Arunachal Pradesh 2021-03-09
## 1928 Assam 2021-03-09
## 1929 Bihar 2021-03-09
## 1930 Chandigarh 2021-03-09
## 1931 Chhattisgarh 2021-03-09
## 1932 Dadra and Nagar Haveli and Daman and Diu 2021-03-09
## 1933 Delhi 2021-03-09
## 1934 Goa 2021-03-09
## 1935 Gujarat 2021-03-09
## 1936 Haryana 2021-03-09
## 1937 Himachal Pradesh 2021-03-09
## 1938 India 2021-03-09
## 1939 Jammu and Kashmir 2021-03-09
## 1940 Jharkhand 2021-03-09
## 1941 Karnataka 2021-03-09
## 1942 Kerala 2021-03-09
## 1943 Ladakh 2021-03-09
## 1944 Lakshadweep 2021-03-09
## 1945 Madhya Pradesh 2021-03-09
## 1946 Maharashtra 2021-03-09
## 1947 Manipur 2021-03-09
## 1948 Meghalaya 2021-03-09
## 1949 Mizoram 2021-03-09
## 1950 Nagaland 2021-03-09
## 1951 Odisha 2021-03-09
## 1952 Puducherry 2021-03-09
## 1953 Punjab 2021-03-09
## 1954 Rajasthan 2021-03-09
## 1955 Sikkim 2021-03-09
## 1956 Tamil Nadu 2021-03-09
## 1957 Telangana 2021-03-09
## 1958 Tripura 2021-03-09
## 1959 Uttar Pradesh 2021-03-09
## 1960 Uttarakhand 2021-03-09
## 1961 West Bengal 2021-03-09
## 1962 Andaman and Nicobar Islands 2021-03-10
## 1963 Andhra Pradesh 2021-03-10
## 1964 Arunachal Pradesh 2021-03-10
## 1965 Assam 2021-03-10
## 1966 Bihar 2021-03-10
## 1967 Chandigarh 2021-03-10
## 1968 Chhattisgarh 2021-03-10
## 1969 Dadra and Nagar Haveli and Daman and Diu 2021-03-10
## 1970 Delhi 2021-03-10
## 1971 Goa 2021-03-10
## 1972 Gujarat 2021-03-10
## 1973 Haryana 2021-03-10
## 1974 Himachal Pradesh 2021-03-10
## 1975 India 2021-03-10
## 1976 Jammu and Kashmir 2021-03-10
## 1977 Jharkhand 2021-03-10
## 1978 Karnataka 2021-03-10
## 1979 Kerala 2021-03-10
## 1980 Ladakh 2021-03-10
## 1981 Lakshadweep 2021-03-10
## 1982 Madhya Pradesh 2021-03-10
## 1983 Maharashtra 2021-03-10
## 1984 Manipur 2021-03-10
## 1985 Meghalaya 2021-03-10
## 1986 Mizoram 2021-03-10
## 1987 Nagaland 2021-03-10
## 1988 Odisha 2021-03-10
## 1989 Puducherry 2021-03-10
## 1990 Punjab 2021-03-10
## 1991 Rajasthan 2021-03-10
## 1992 Sikkim 2021-03-10
## 1993 Tamil Nadu 2021-03-10
## 1994 Telangana 2021-03-10
## 1995 Tripura 2021-03-10
## 1996 Uttar Pradesh 2021-03-10
## 1997 Uttarakhand 2021-03-10
## 1998 West Bengal 2021-03-10
## 1999 Andaman and Nicobar Islands 2021-03-11
## 2000 Andhra Pradesh 2021-03-11
## 2001 Arunachal Pradesh 2021-03-11
## 2002 Assam 2021-03-11
## 2003 Bihar 2021-03-11
## 2004 Chandigarh 2021-03-11
## 2005 Chhattisgarh 2021-03-11
## 2006 Dadra and Nagar Haveli and Daman and Diu 2021-03-11
## 2007 Delhi 2021-03-11
## 2008 Goa 2021-03-11
## 2009 Gujarat 2021-03-11
## 2010 Haryana 2021-03-11
## 2011 Himachal Pradesh 2021-03-11
## 2012 India 2021-03-11
## 2013 Jammu and Kashmir 2021-03-11
## 2014 Jharkhand 2021-03-11
## 2015 Karnataka 2021-03-11
## 2016 Kerala 2021-03-11
## 2017 Ladakh 2021-03-11
## 2018 Lakshadweep 2021-03-11
## 2019 Madhya Pradesh 2021-03-11
## 2020 Maharashtra 2021-03-11
## 2021 Manipur 2021-03-11
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## 2221 Andaman and Nicobar Islands 2021-03-17
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## 2223 Arunachal Pradesh 2021-03-17
## 2224 Assam 2021-03-17
## 2225 Bihar 2021-03-17
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## 1866 Jharkhand 2021-03-07
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## 1897 Goa 2021-03-08
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## 1899 Haryana 2021-03-08
## 1900 Himachal Pradesh 2021-03-08
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## 1903 Jharkhand 2021-03-08
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## 1905 Kerala 2021-03-08
## 1906 Ladakh 2021-03-08
## 1907 Lakshadweep 2021-03-08
## 1908 Madhya Pradesh 2021-03-08
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## 1911 Meghalaya 2021-03-08
## 1912 Mizoram 2021-03-08
## 1913 Nagaland 2021-03-08
## 1914 Odisha 2021-03-08
## 1915 Puducherry 2021-03-08
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## 1917 Rajasthan 2021-03-08
## 1918 Sikkim 2021-03-08
## 1919 Tamil Nadu 2021-03-08
## 1920 Telangana 2021-03-08
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## 1925 Andaman and Nicobar Islands 2021-03-09
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## 1927 Arunachal Pradesh 2021-03-09
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## 1929 Bihar 2021-03-09
## 1930 Chandigarh 2021-03-09
## 1931 Chhattisgarh 2021-03-09
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## 1934 Goa 2021-03-09
## 1935 Gujarat 2021-03-09
## 1936 Haryana 2021-03-09
## 1937 Himachal Pradesh 2021-03-09
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## 1939 Jammu and Kashmir 2021-03-09
## 1940 Jharkhand 2021-03-09
## 1941 Karnataka 2021-03-09
## 1942 Kerala 2021-03-09
## 1943 Ladakh 2021-03-09
## 1944 Lakshadweep 2021-03-09
## 1945 Madhya Pradesh 2021-03-09
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## 1948 Meghalaya 2021-03-09
## 1949 Mizoram 2021-03-09
## 1950 Nagaland 2021-03-09
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## 1952 Puducherry 2021-03-09
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## 1954 Rajasthan 2021-03-09
## 1955 Sikkim 2021-03-09
## 1956 Tamil Nadu 2021-03-09
## 1957 Telangana 2021-03-09
## 1958 Tripura 2021-03-09
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## 1962 Andaman and Nicobar Islands 2021-03-10
## 1963 Andhra Pradesh 2021-03-10
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## 1967 Chandigarh 2021-03-10
## 1968 Chhattisgarh 2021-03-10
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## 1973 Haryana 2021-03-10
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## 1977 Jharkhand 2021-03-10
## 1978 Karnataka 2021-03-10
## 1979 Kerala 2021-03-10
## 1980 Ladakh 2021-03-10
## 1981 Lakshadweep 2021-03-10
## 1982 Madhya Pradesh 2021-03-10
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## 1986 Mizoram 2021-03-10
## 1987 Nagaland 2021-03-10
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## 1989 Puducherry 2021-03-10
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## 1991 Rajasthan 2021-03-10
## 1992 Sikkim 2021-03-10
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## 1994 Telangana 2021-03-10
## 1995 Tripura 2021-03-10
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## 1998 West Bengal 2021-03-10
## 1999 Andaman and Nicobar Islands 2021-03-11
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## 2001 Arunachal Pradesh 2021-03-11
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## 2003 Bihar 2021-03-11
## 2004 Chandigarh 2021-03-11
## 2005 Chhattisgarh 2021-03-11
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## 2010 Haryana 2021-03-11
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## 2014 Jharkhand 2021-03-11
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## 2016 Kerala 2021-03-11
## 2017 Ladakh 2021-03-11
## 2018 Lakshadweep 2021-03-11
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## 2957 Tripura 2021-04-05
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## 1836 Manipur 2021-03-06
## 1837 Meghalaya 2021-03-06
## 1838 Mizoram 2021-03-06
## 1839 Nagaland 2021-03-06
## 1840 Odisha 2021-03-06
## 1841 Puducherry 2021-03-06
## 1842 Punjab 2021-03-06
## 1843 Rajasthan 2021-03-06
## 1844 Sikkim 2021-03-06
## 1845 Tamil Nadu 2021-03-06
## 1846 Telangana 2021-03-06
## 1847 Tripura 2021-03-06
## 1848 Uttar Pradesh 2021-03-06
## 1849 Uttarakhand 2021-03-06
## 1850 West Bengal 2021-03-06
## 1851 Andaman and Nicobar Islands 2021-03-07
## 1852 Andhra Pradesh 2021-03-07
## 1853 Arunachal Pradesh 2021-03-07
## 1854 Assam 2021-03-07
## 1855 Bihar 2021-03-07
## 1856 Chandigarh 2021-03-07
## 1857 Chhattisgarh 2021-03-07
## 1858 Dadra and Nagar Haveli and Daman and Diu 2021-03-07
## 1859 Delhi 2021-03-07
## 1860 Goa 2021-03-07
## 1861 Gujarat 2021-03-07
## 1862 Haryana 2021-03-07
## 1863 Himachal Pradesh 2021-03-07
## 1864 India 2021-03-07
## 1865 Jammu and Kashmir 2021-03-07
## 1866 Jharkhand 2021-03-07
## 1867 Karnataka 2021-03-07
## 1868 Kerala 2021-03-07
## 1869 Ladakh 2021-03-07
## 1870 Lakshadweep 2021-03-07
## 1871 Madhya Pradesh 2021-03-07
## 1872 Maharashtra 2021-03-07
## 1873 Manipur 2021-03-07
## 1874 Meghalaya 2021-03-07
## 1875 Mizoram 2021-03-07
## 1876 Nagaland 2021-03-07
## 1877 Odisha 2021-03-07
## 1878 Puducherry 2021-03-07
## 1879 Punjab 2021-03-07
## 1880 Rajasthan 2021-03-07
## 1881 Sikkim 2021-03-07
## 1882 Tamil Nadu 2021-03-07
## 1883 Telangana 2021-03-07
## 1884 Tripura 2021-03-07
## 1885 Uttar Pradesh 2021-03-07
## 1886 Uttarakhand 2021-03-07
## 1887 West Bengal 2021-03-07
## 1888 Andaman and Nicobar Islands 2021-03-08
## 1889 Andhra Pradesh 2021-03-08
## 1890 Arunachal Pradesh 2021-03-08
## 1891 Assam 2021-03-08
## 1892 Bihar 2021-03-08
## 1893 Chandigarh 2021-03-08
## 1894 Chhattisgarh 2021-03-08
## 1895 Dadra and Nagar Haveli and Daman and Diu 2021-03-08
## 1896 Delhi 2021-03-08
## 1897 Goa 2021-03-08
## 1898 Gujarat 2021-03-08
## 1899 Haryana 2021-03-08
## 1900 Himachal Pradesh 2021-03-08
## 1901 India 2021-03-08
## 1902 Jammu and Kashmir 2021-03-08
## 1903 Jharkhand 2021-03-08
## 1904 Karnataka 2021-03-08
## 1905 Kerala 2021-03-08
## 1906 Ladakh 2021-03-08
## 1907 Lakshadweep 2021-03-08
## 1908 Madhya Pradesh 2021-03-08
## 1909 Maharashtra 2021-03-08
## 1910 Manipur 2021-03-08
## 1911 Meghalaya 2021-03-08
## 1912 Mizoram 2021-03-08
## 1913 Nagaland 2021-03-08
## 1914 Odisha 2021-03-08
## 1915 Puducherry 2021-03-08
## 1916 Punjab 2021-03-08
## 1917 Rajasthan 2021-03-08
## 1918 Sikkim 2021-03-08
## 1919 Tamil Nadu 2021-03-08
## 1920 Telangana 2021-03-08
## 1921 Tripura 2021-03-08
## 1922 Uttar Pradesh 2021-03-08
## 1923 Uttarakhand 2021-03-08
## 1924 West Bengal 2021-03-08
## 1925 Andaman and Nicobar Islands 2021-03-09
## 1926 Andhra Pradesh 2021-03-09
## 1927 Arunachal Pradesh 2021-03-09
## 1928 Assam 2021-03-09
## 1929 Bihar 2021-03-09
## 1930 Chandigarh 2021-03-09
## 1931 Chhattisgarh 2021-03-09
## 1932 Dadra and Nagar Haveli and Daman and Diu 2021-03-09
## 1933 Delhi 2021-03-09
## 1934 Goa 2021-03-09
## 1935 Gujarat 2021-03-09
## 1936 Haryana 2021-03-09
## 1937 Himachal Pradesh 2021-03-09
## 1938 India 2021-03-09
## 1939 Jammu and Kashmir 2021-03-09
## 1940 Jharkhand 2021-03-09
## 1941 Karnataka 2021-03-09
## 1942 Kerala 2021-03-09
## 1943 Ladakh 2021-03-09
## 1944 Lakshadweep 2021-03-09
## 1945 Madhya Pradesh 2021-03-09
## 1946 Maharashtra 2021-03-09
## 1947 Manipur 2021-03-09
## 1948 Meghalaya 2021-03-09
## 1949 Mizoram 2021-03-09
## 1950 Nagaland 2021-03-09
## 1951 Odisha 2021-03-09
## 1952 Puducherry 2021-03-09
## 1953 Punjab 2021-03-09
## 1954 Rajasthan 2021-03-09
## 1955 Sikkim 2021-03-09
## 1956 Tamil Nadu 2021-03-09
## 1957 Telangana 2021-03-09
## 1958 Tripura 2021-03-09
## 1959 Uttar Pradesh 2021-03-09
## 1960 Uttarakhand 2021-03-09
## 1961 West Bengal 2021-03-09
## 1962 Andaman and Nicobar Islands 2021-03-10
## 1963 Andhra Pradesh 2021-03-10
## 1964 Arunachal Pradesh 2021-03-10
## 1965 Assam 2021-03-10
## 1966 Bihar 2021-03-10
## 1967 Chandigarh 2021-03-10
## 1968 Chhattisgarh 2021-03-10
## 1969 Dadra and Nagar Haveli and Daman and Diu 2021-03-10
## 1970 Delhi 2021-03-10
## 1971 Goa 2021-03-10
## 1972 Gujarat 2021-03-10
## 1973 Haryana 2021-03-10
## 1974 Himachal Pradesh 2021-03-10
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## 1976 Jammu and Kashmir 2021-03-10
## 1977 Jharkhand 2021-03-10
## 1978 Karnataka 2021-03-10
## 1979 Kerala 2021-03-10
## 1980 Ladakh 2021-03-10
## 1981 Lakshadweep 2021-03-10
## 1982 Madhya Pradesh 2021-03-10
## 1983 Maharashtra 2021-03-10
## 1984 Manipur 2021-03-10
## 1985 Meghalaya 2021-03-10
## 1986 Mizoram 2021-03-10
## 1987 Nagaland 2021-03-10
## 1988 Odisha 2021-03-10
## 1989 Puducherry 2021-03-10
## 1990 Punjab 2021-03-10
## 1991 Rajasthan 2021-03-10
## 1992 Sikkim 2021-03-10
## 1993 Tamil Nadu 2021-03-10
## 1994 Telangana 2021-03-10
## 1995 Tripura 2021-03-10
## 1996 Uttar Pradesh 2021-03-10
## 1997 Uttarakhand 2021-03-10
## 1998 West Bengal 2021-03-10
## 1999 Andaman and Nicobar Islands 2021-03-11
## 2000 Andhra Pradesh 2021-03-11
## 2001 Arunachal Pradesh 2021-03-11
## 2002 Assam 2021-03-11
## 2003 Bihar 2021-03-11
## 2004 Chandigarh 2021-03-11
## 2005 Chhattisgarh 2021-03-11
## 2006 Dadra and Nagar Haveli and Daman and Diu 2021-03-11
## 2007 Delhi 2021-03-11
## 2008 Goa 2021-03-11
## 2009 Gujarat 2021-03-11
## 2010 Haryana 2021-03-11
## 2011 Himachal Pradesh 2021-03-11
## 2012 India 2021-03-11
## 2013 Jammu and Kashmir 2021-03-11
## 2014 Jharkhand 2021-03-11
## 2015 Karnataka 2021-03-11
## 2016 Kerala 2021-03-11
## 2017 Ladakh 2021-03-11
## 2018 Lakshadweep 2021-03-11
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## 4304 Haryana 2021-05-12
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## 7845 0aggregate(vaccine$covaxin_doses ~ vaccine$State + vaccine$updated_on, FUN = mean)## vaccine$State vaccine$updated_on
## 1 Andaman and Nicobar Islands 2021-01-16
## 2 Andhra Pradesh 2021-01-16
## 3 Arunachal Pradesh 2021-01-16
## 4 Assam 2021-01-16
## 5 Bihar 2021-01-16
## 6 Chandigarh 2021-01-16
## 7 Chhattisgarh 2021-01-16
## 8 Dadra and Nagar Haveli and Daman and Diu 2021-01-16
## 9 Delhi 2021-01-16
## 10 Goa 2021-01-16
## 11 Gujarat 2021-01-16
## 12 Haryana 2021-01-16
## 13 Himachal Pradesh 2021-01-16
## 14 India 2021-01-16
## 15 Jammu and Kashmir 2021-01-16
## 16 Jharkhand 2021-01-16
## 17 Karnataka 2021-01-16
## 18 Kerala 2021-01-16
## 19 Ladakh 2021-01-16
## 20 Lakshadweep 2021-01-16
## 21 Madhya Pradesh 2021-01-16
## 22 Maharashtra 2021-01-16
## 23 Manipur 2021-01-16
## 24 Meghalaya 2021-01-16
## 25 Mizoram 2021-01-16
## 26 Nagaland 2021-01-16
## 27 Odisha 2021-01-16
## 28 Puducherry 2021-01-16
## 29 Punjab 2021-01-16
## 30 Rajasthan 2021-01-16
## 31 Sikkim 2021-01-16
## 32 Tamil Nadu 2021-01-16
## 33 Telangana 2021-01-16
## 34 Tripura 2021-01-16
## 35 Uttar Pradesh 2021-01-16
## 36 Uttarakhand 2021-01-16
## 37 West Bengal 2021-01-16
## 38 Andaman and Nicobar Islands 2021-01-17
## 39 Andhra Pradesh 2021-01-17
## 40 Arunachal Pradesh 2021-01-17
## 41 Assam 2021-01-17
## 42 Bihar 2021-01-17
## 43 Chandigarh 2021-01-17
## 44 Chhattisgarh 2021-01-17
## 45 Dadra and Nagar Haveli and Daman and Diu 2021-01-17
## 46 Delhi 2021-01-17
## 47 Goa 2021-01-17
## 48 Gujarat 2021-01-17
## 49 Haryana 2021-01-17
## 50 Himachal Pradesh 2021-01-17
## 51 India 2021-01-17
## 52 Jammu and Kashmir 2021-01-17
## 53 Jharkhand 2021-01-17
## 54 Karnataka 2021-01-17
## 55 Kerala 2021-01-17
## 56 Ladakh 2021-01-17
## 57 Lakshadweep 2021-01-17
## 58 Madhya Pradesh 2021-01-17
## 59 Maharashtra 2021-01-17
## 60 Manipur 2021-01-17
## 61 Meghalaya 2021-01-17
## 62 Mizoram 2021-01-17
## 63 Nagaland 2021-01-17
## 64 Odisha 2021-01-17
## 65 Puducherry 2021-01-17
## 66 Punjab 2021-01-17
## 67 Rajasthan 2021-01-17
## 68 Sikkim 2021-01-17
## 69 Tamil Nadu 2021-01-17
## 70 Telangana 2021-01-17
## 71 Tripura 2021-01-17
## 72 Uttar Pradesh 2021-01-17
## 73 Uttarakhand 2021-01-17
## 74 West Bengal 2021-01-17
## 75 Andaman and Nicobar Islands 2021-01-18
## 76 Andhra Pradesh 2021-01-18
## 77 Arunachal Pradesh 2021-01-18
## 78 Assam 2021-01-18
## 79 Bihar 2021-01-18
## 80 Chandigarh 2021-01-18
## 81 Chhattisgarh 2021-01-18
## 82 Dadra and Nagar Haveli and Daman and Diu 2021-01-18
## 83 Delhi 2021-01-18
## 84 Goa 2021-01-18
## 85 Gujarat 2021-01-18
## 86 Haryana 2021-01-18
## 87 Himachal Pradesh 2021-01-18
## 88 India 2021-01-18
## 89 Jammu and Kashmir 2021-01-18
## 90 Jharkhand 2021-01-18
## 91 Karnataka 2021-01-18
## 92 Kerala 2021-01-18
## 93 Ladakh 2021-01-18
## 94 Lakshadweep 2021-01-18
## 95 Madhya Pradesh 2021-01-18
## 96 Maharashtra 2021-01-18
## 97 Manipur 2021-01-18
## 98 Meghalaya 2021-01-18
## 99 Mizoram 2021-01-18
## 100 Nagaland 2021-01-18
## 101 Odisha 2021-01-18
## 102 Puducherry 2021-01-18
## 103 Punjab 2021-01-18
## 104 Rajasthan 2021-01-18
## 105 Sikkim 2021-01-18
## 106 Tamil Nadu 2021-01-18
## 107 Telangana 2021-01-18
## 108 Tripura 2021-01-18
## 109 Uttar Pradesh 2021-01-18
## 110 Uttarakhand 2021-01-18
## 111 West Bengal 2021-01-18
## 112 Andaman and Nicobar Islands 2021-01-19
## 113 Andhra Pradesh 2021-01-19
## 114 Arunachal Pradesh 2021-01-19
## 115 Assam 2021-01-19
## 116 Bihar 2021-01-19
## 117 Chandigarh 2021-01-19
## 118 Chhattisgarh 2021-01-19
## 119 Dadra and Nagar Haveli and Daman and Diu 2021-01-19
## 120 Delhi 2021-01-19
## 121 Goa 2021-01-19
## 122 Gujarat 2021-01-19
## 123 Haryana 2021-01-19
## 124 Himachal Pradesh 2021-01-19
## 125 India 2021-01-19
## 126 Jammu and Kashmir 2021-01-19
## 127 Jharkhand 2021-01-19
## 128 Karnataka 2021-01-19
## 129 Kerala 2021-01-19
## 130 Ladakh 2021-01-19
## 131 Lakshadweep 2021-01-19
## 132 Madhya Pradesh 2021-01-19
## 133 Maharashtra 2021-01-19
## 134 Manipur 2021-01-19
## 135 Meghalaya 2021-01-19
## 136 Mizoram 2021-01-19
## 137 Nagaland 2021-01-19
## 138 Odisha 2021-01-19
## 139 Puducherry 2021-01-19
## 140 Punjab 2021-01-19
## 141 Rajasthan 2021-01-19
## 142 Sikkim 2021-01-19
## 143 Tamil Nadu 2021-01-19
## 144 Telangana 2021-01-19
## 145 Tripura 2021-01-19
## 146 Uttar Pradesh 2021-01-19
## 147 Uttarakhand 2021-01-19
## 148 West Bengal 2021-01-19
## 149 Andaman and Nicobar Islands 2021-01-20
## 150 Andhra Pradesh 2021-01-20
## 151 Arunachal Pradesh 2021-01-20
## 152 Assam 2021-01-20
## 153 Bihar 2021-01-20
## 154 Chandigarh 2021-01-20
## 155 Chhattisgarh 2021-01-20
## 156 Dadra and Nagar Haveli and Daman and Diu 2021-01-20
## 157 Delhi 2021-01-20
## 158 Goa 2021-01-20
## 159 Gujarat 2021-01-20
## 160 Haryana 2021-01-20
## 161 Himachal Pradesh 2021-01-20
## 162 India 2021-01-20
## 163 Jammu and Kashmir 2021-01-20
## 164 Jharkhand 2021-01-20
## 165 Karnataka 2021-01-20
## 166 Kerala 2021-01-20
## 167 Ladakh 2021-01-20
## 168 Lakshadweep 2021-01-20
## 169 Madhya Pradesh 2021-01-20
## 170 Maharashtra 2021-01-20
## 171 Manipur 2021-01-20
## 172 Meghalaya 2021-01-20
## 173 Mizoram 2021-01-20
## 174 Nagaland 2021-01-20
## 175 Odisha 2021-01-20
## 176 Puducherry 2021-01-20
## 177 Punjab 2021-01-20
## 178 Rajasthan 2021-01-20
## 179 Sikkim 2021-01-20
## 180 Tamil Nadu 2021-01-20
## 181 Telangana 2021-01-20
## 182 Tripura 2021-01-20
## 183 Uttar Pradesh 2021-01-20
## 184 Uttarakhand 2021-01-20
## 185 West Bengal 2021-01-20
## 186 Andaman and Nicobar Islands 2021-01-21
## 187 Andhra Pradesh 2021-01-21
## 188 Arunachal Pradesh 2021-01-21
## 189 Assam 2021-01-21
## 190 Bihar 2021-01-21
## 191 Chandigarh 2021-01-21
## 192 Chhattisgarh 2021-01-21
## 193 Dadra and Nagar Haveli and Daman and Diu 2021-01-21
## 194 Delhi 2021-01-21
## 195 Goa 2021-01-21
## 196 Gujarat 2021-01-21
## 197 Haryana 2021-01-21
## 198 Himachal Pradesh 2021-01-21
## 199 India 2021-01-21
## 200 Jammu and Kashmir 2021-01-21
## 201 Jharkhand 2021-01-21
## 202 Karnataka 2021-01-21
## 203 Kerala 2021-01-21
## 204 Ladakh 2021-01-21
## 205 Lakshadweep 2021-01-21
## 206 Madhya Pradesh 2021-01-21
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## 1830 Karnataka 2021-03-06
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## 1847 Tripura 2021-03-06
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## 1849 Uttarakhand 2021-03-06
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## 1851 Andaman and Nicobar Islands 2021-03-07
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## 1853 Arunachal Pradesh 2021-03-07
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## 1862 Haryana 2021-03-07
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## 1866 Jharkhand 2021-03-07
## 1867 Karnataka 2021-03-07
## 1868 Kerala 2021-03-07
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## 1881 Sikkim 2021-03-07
## 1882 Tamil Nadu 2021-03-07
## 1883 Telangana 2021-03-07
## 1884 Tripura 2021-03-07
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## 1886 Uttarakhand 2021-03-07
## 1887 West Bengal 2021-03-07
## 1888 Andaman and Nicobar Islands 2021-03-08
## 1889 Andhra Pradesh 2021-03-08
## 1890 Arunachal Pradesh 2021-03-08
## 1891 Assam 2021-03-08
## 1892 Bihar 2021-03-08
## 1893 Chandigarh 2021-03-08
## 1894 Chhattisgarh 2021-03-08
## 1895 Dadra and Nagar Haveli and Daman and Diu 2021-03-08
## 1896 Delhi 2021-03-08
## 1897 Goa 2021-03-08
## 1898 Gujarat 2021-03-08
## 1899 Haryana 2021-03-08
## 1900 Himachal Pradesh 2021-03-08
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## 1902 Jammu and Kashmir 2021-03-08
## 1903 Jharkhand 2021-03-08
## 1904 Karnataka 2021-03-08
## 1905 Kerala 2021-03-08
## 1906 Ladakh 2021-03-08
## 1907 Lakshadweep 2021-03-08
## 1908 Madhya Pradesh 2021-03-08
## 1909 Maharashtra 2021-03-08
## 1910 Manipur 2021-03-08
## 1911 Meghalaya 2021-03-08
## 1912 Mizoram 2021-03-08
## 1913 Nagaland 2021-03-08
## 1914 Odisha 2021-03-08
## 1915 Puducherry 2021-03-08
## 1916 Punjab 2021-03-08
## 1917 Rajasthan 2021-03-08
## 1918 Sikkim 2021-03-08
## 1919 Tamil Nadu 2021-03-08
## 1920 Telangana 2021-03-08
## 1921 Tripura 2021-03-08
## 1922 Uttar Pradesh 2021-03-08
## 1923 Uttarakhand 2021-03-08
## 1924 West Bengal 2021-03-08
## 1925 Andaman and Nicobar Islands 2021-03-09
## 1926 Andhra Pradesh 2021-03-09
## 1927 Arunachal Pradesh 2021-03-09
## 1928 Assam 2021-03-09
## 1929 Bihar 2021-03-09
## 1930 Chandigarh 2021-03-09
## 1931 Chhattisgarh 2021-03-09
## 1932 Dadra and Nagar Haveli and Daman and Diu 2021-03-09
## 1933 Delhi 2021-03-09
## 1934 Goa 2021-03-09
## 1935 Gujarat 2021-03-09
## 1936 Haryana 2021-03-09
## 1937 Himachal Pradesh 2021-03-09
## 1938 India 2021-03-09
## 1939 Jammu and Kashmir 2021-03-09
## 1940 Jharkhand 2021-03-09
## 1941 Karnataka 2021-03-09
## 1942 Kerala 2021-03-09
## 1943 Ladakh 2021-03-09
## 1944 Lakshadweep 2021-03-09
## 1945 Madhya Pradesh 2021-03-09
## 1946 Maharashtra 2021-03-09
## 1947 Manipur 2021-03-09
## 1948 Meghalaya 2021-03-09
## 1949 Mizoram 2021-03-09
## 1950 Nagaland 2021-03-09
## 1951 Odisha 2021-03-09
## 1952 Puducherry 2021-03-09
## 1953 Punjab 2021-03-09
## 1954 Rajasthan 2021-03-09
## 1955 Sikkim 2021-03-09
## 1956 Tamil Nadu 2021-03-09
## 1957 Telangana 2021-03-09
## 1958 Tripura 2021-03-09
## 1959 Uttar Pradesh 2021-03-09
## 1960 Uttarakhand 2021-03-09
## 1961 West Bengal 2021-03-09
## 1962 Andaman and Nicobar Islands 2021-03-10
## 1963 Andhra Pradesh 2021-03-10
## 1964 Arunachal Pradesh 2021-03-10
## 1965 Assam 2021-03-10
## 1966 Bihar 2021-03-10
## 1967 Chandigarh 2021-03-10
## 1968 Chhattisgarh 2021-03-10
## 1969 Dadra and Nagar Haveli and Daman and Diu 2021-03-10
## 1970 Delhi 2021-03-10
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## 1972 Gujarat 2021-03-10
## 1973 Haryana 2021-03-10
## 1974 Himachal Pradesh 2021-03-10
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## 1976 Jammu and Kashmir 2021-03-10
## 1977 Jharkhand 2021-03-10
## 1978 Karnataka 2021-03-10
## 1979 Kerala 2021-03-10
## 1980 Ladakh 2021-03-10
## 1981 Lakshadweep 2021-03-10
## 1982 Madhya Pradesh 2021-03-10
## 1983 Maharashtra 2021-03-10
## 1984 Manipur 2021-03-10
## 1985 Meghalaya 2021-03-10
## 1986 Mizoram 2021-03-10
## 1987 Nagaland 2021-03-10
## 1988 Odisha 2021-03-10
## 1989 Puducherry 2021-03-10
## 1990 Punjab 2021-03-10
## 1991 Rajasthan 2021-03-10
## 1992 Sikkim 2021-03-10
## 1993 Tamil Nadu 2021-03-10
## 1994 Telangana 2021-03-10
## 1995 Tripura 2021-03-10
## 1996 Uttar Pradesh 2021-03-10
## 1997 Uttarakhand 2021-03-10
## 1998 West Bengal 2021-03-10
## 1999 Andaman and Nicobar Islands 2021-03-11
## 2000 Andhra Pradesh 2021-03-11
## 2001 Arunachal Pradesh 2021-03-11
## 2002 Assam 2021-03-11
## 2003 Bihar 2021-03-11
## 2004 Chandigarh 2021-03-11
## 2005 Chhattisgarh 2021-03-11
## 2006 Dadra and Nagar Haveli and Daman and Diu 2021-03-11
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## 2010 Haryana 2021-03-11
## 2011 Himachal Pradesh 2021-03-11
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## 2014 Jharkhand 2021-03-11
## 2015 Karnataka 2021-03-11
## 2016 Kerala 2021-03-11
## 2017 Ladakh 2021-03-11
## 2018 Lakshadweep 2021-03-11
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## 7844 0
## 7845 0aggregate(vaccine$covishield_doses ~ vaccine$State + vaccine$updated_on, FUN = mean)## vaccine$State vaccine$updated_on
## 1 Andaman and Nicobar Islands 2021-01-16
## 2 Andhra Pradesh 2021-01-16
## 3 Arunachal Pradesh 2021-01-16
## 4 Assam 2021-01-16
## 5 Bihar 2021-01-16
## 6 Chandigarh 2021-01-16
## 7 Chhattisgarh 2021-01-16
## 8 Dadra and Nagar Haveli and Daman and Diu 2021-01-16
## 9 Delhi 2021-01-16
## 10 Goa 2021-01-16
## 11 Gujarat 2021-01-16
## 12 Haryana 2021-01-16
## 13 Himachal Pradesh 2021-01-16
## 14 India 2021-01-16
## 15 Jammu and Kashmir 2021-01-16
## 16 Jharkhand 2021-01-16
## 17 Karnataka 2021-01-16
## 18 Kerala 2021-01-16
## 19 Ladakh 2021-01-16
## 20 Lakshadweep 2021-01-16
## 21 Madhya Pradesh 2021-01-16
## 22 Maharashtra 2021-01-16
## 23 Manipur 2021-01-16
## 24 Meghalaya 2021-01-16
## 25 Mizoram 2021-01-16
## 26 Nagaland 2021-01-16
## 27 Odisha 2021-01-16
## 28 Puducherry 2021-01-16
## 29 Punjab 2021-01-16
## 30 Rajasthan 2021-01-16
## 31 Sikkim 2021-01-16
## 32 Tamil Nadu 2021-01-16
## 33 Telangana 2021-01-16
## 34 Tripura 2021-01-16
## 35 Uttar Pradesh 2021-01-16
## 36 Uttarakhand 2021-01-16
## 37 West Bengal 2021-01-16
## 38 Andaman and Nicobar Islands 2021-01-17
## 39 Andhra Pradesh 2021-01-17
## 40 Arunachal Pradesh 2021-01-17
## 41 Assam 2021-01-17
## 42 Bihar 2021-01-17
## 43 Chandigarh 2021-01-17
## 44 Chhattisgarh 2021-01-17
## 45 Dadra and Nagar Haveli and Daman and Diu 2021-01-17
## 46 Delhi 2021-01-17
## 47 Goa 2021-01-17
## 48 Gujarat 2021-01-17
## 49 Haryana 2021-01-17
## 50 Himachal Pradesh 2021-01-17
## 51 India 2021-01-17
## 52 Jammu and Kashmir 2021-01-17
## 53 Jharkhand 2021-01-17
## 54 Karnataka 2021-01-17
## 55 Kerala 2021-01-17
## 56 Ladakh 2021-01-17
## 57 Lakshadweep 2021-01-17
## 58 Madhya Pradesh 2021-01-17
## 59 Maharashtra 2021-01-17
## 60 Manipur 2021-01-17
## 61 Meghalaya 2021-01-17
## 62 Mizoram 2021-01-17
## 63 Nagaland 2021-01-17
## 64 Odisha 2021-01-17
## 65 Puducherry 2021-01-17
## 66 Punjab 2021-01-17
## 67 Rajasthan 2021-01-17
## 68 Sikkim 2021-01-17
## 69 Tamil Nadu 2021-01-17
## 70 Telangana 2021-01-17
## 71 Tripura 2021-01-17
## 72 Uttar Pradesh 2021-01-17
## 73 Uttarakhand 2021-01-17
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## 1890 Arunachal Pradesh 2021-03-08
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## 1892 Bihar 2021-03-08
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## 1899 Haryana 2021-03-08
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## 1905 Kerala 2021-03-08
## 1906 Ladakh 2021-03-08
## 1907 Lakshadweep 2021-03-08
## 1908 Madhya Pradesh 2021-03-08
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## 1910 Manipur 2021-03-08
## 1911 Meghalaya 2021-03-08
## 1912 Mizoram 2021-03-08
## 1913 Nagaland 2021-03-08
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## 1915 Puducherry 2021-03-08
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## 1917 Rajasthan 2021-03-08
## 1918 Sikkim 2021-03-08
## 1919 Tamil Nadu 2021-03-08
## 1920 Telangana 2021-03-08
## 1921 Tripura 2021-03-08
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## 1923 Uttarakhand 2021-03-08
## 1924 West Bengal 2021-03-08
## 1925 Andaman and Nicobar Islands 2021-03-09
## 1926 Andhra Pradesh 2021-03-09
## 1927 Arunachal Pradesh 2021-03-09
## 1928 Assam 2021-03-09
## 1929 Bihar 2021-03-09
## 1930 Chandigarh 2021-03-09
## 1931 Chhattisgarh 2021-03-09
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## 1934 Goa 2021-03-09
## 1935 Gujarat 2021-03-09
## 1936 Haryana 2021-03-09
## 1937 Himachal Pradesh 2021-03-09
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## 1939 Jammu and Kashmir 2021-03-09
## 1940 Jharkhand 2021-03-09
## 1941 Karnataka 2021-03-09
## 1942 Kerala 2021-03-09
## 1943 Ladakh 2021-03-09
## 1944 Lakshadweep 2021-03-09
## 1945 Madhya Pradesh 2021-03-09
## 1946 Maharashtra 2021-03-09
## 1947 Manipur 2021-03-09
## 1948 Meghalaya 2021-03-09
## 1949 Mizoram 2021-03-09
## 1950 Nagaland 2021-03-09
## 1951 Odisha 2021-03-09
## 1952 Puducherry 2021-03-09
## 1953 Punjab 2021-03-09
## 1954 Rajasthan 2021-03-09
## 1955 Sikkim 2021-03-09
## 1956 Tamil Nadu 2021-03-09
## 1957 Telangana 2021-03-09
## 1958 Tripura 2021-03-09
## 1959 Uttar Pradesh 2021-03-09
## 1960 Uttarakhand 2021-03-09
## 1961 West Bengal 2021-03-09
## 1962 Andaman and Nicobar Islands 2021-03-10
## 1963 Andhra Pradesh 2021-03-10
## 1964 Arunachal Pradesh 2021-03-10
## 1965 Assam 2021-03-10
## 1966 Bihar 2021-03-10
## 1967 Chandigarh 2021-03-10
## 1968 Chhattisgarh 2021-03-10
## 1969 Dadra and Nagar Haveli and Daman and Diu 2021-03-10
## 1970 Delhi 2021-03-10
## 1971 Goa 2021-03-10
## 1972 Gujarat 2021-03-10
## 1973 Haryana 2021-03-10
## 1974 Himachal Pradesh 2021-03-10
## 1975 India 2021-03-10
## 1976 Jammu and Kashmir 2021-03-10
## 1977 Jharkhand 2021-03-10
## 1978 Karnataka 2021-03-10
## 1979 Kerala 2021-03-10
## 1980 Ladakh 2021-03-10
## 1981 Lakshadweep 2021-03-10
## 1982 Madhya Pradesh 2021-03-10
## 1983 Maharashtra 2021-03-10
## 1984 Manipur 2021-03-10
## 1985 Meghalaya 2021-03-10
## 1986 Mizoram 2021-03-10
## 1987 Nagaland 2021-03-10
## 1988 Odisha 2021-03-10
## 1989 Puducherry 2021-03-10
## 1990 Punjab 2021-03-10
## 1991 Rajasthan 2021-03-10
## 1992 Sikkim 2021-03-10
## 1993 Tamil Nadu 2021-03-10
## 1994 Telangana 2021-03-10
## 1995 Tripura 2021-03-10
## 1996 Uttar Pradesh 2021-03-10
## 1997 Uttarakhand 2021-03-10
## 1998 West Bengal 2021-03-10
## 1999 Andaman and Nicobar Islands 2021-03-11
## 2000 Andhra Pradesh 2021-03-11
## 2001 Arunachal Pradesh 2021-03-11
## 2002 Assam 2021-03-11
## 2003 Bihar 2021-03-11
## 2004 Chandigarh 2021-03-11
## 2005 Chhattisgarh 2021-03-11
## 2006 Dadra and Nagar Haveli and Daman and Diu 2021-03-11
## 2007 Delhi 2021-03-11
## 2008 Goa 2021-03-11
## 2009 Gujarat 2021-03-11
## 2010 Haryana 2021-03-11
## 2011 Himachal Pradesh 2021-03-11
## 2012 India 2021-03-11
## 2013 Jammu and Kashmir 2021-03-11
## 2014 Jharkhand 2021-03-11
## 2015 Karnataka 2021-03-11
## 2016 Kerala 2021-03-11
## 2017 Ladakh 2021-03-11
## 2018 Lakshadweep 2021-03-11
## 2019 Madhya Pradesh 2021-03-11
## 2020 Maharashtra 2021-03-11
## 2021 Manipur 2021-03-11
## 2022 Meghalaya 2021-03-11
## 2023 Mizoram 2021-03-11
## 2024 Nagaland 2021-03-11
## 2025 Odisha 2021-03-11
## 2026 Puducherry 2021-03-11
## 2027 Punjab 2021-03-11
## 2028 Rajasthan 2021-03-11
## 2029 Sikkim 2021-03-11
## 2030 Tamil Nadu 2021-03-11
## 2031 Telangana 2021-03-11
## 2032 Tripura 2021-03-11
## 2033 Uttar Pradesh 2021-03-11
## 2034 Uttarakhand 2021-03-11
## 2035 West Bengal 2021-03-11
## 2036 Andaman and Nicobar Islands 2021-03-12
## 2037 Andhra Pradesh 2021-03-12
## 2038 Arunachal Pradesh 2021-03-12
## 2039 Assam 2021-03-12
## 2040 Bihar 2021-03-12
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## 2053 Kerala 2021-03-12
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## 2075 Arunachal Pradesh 2021-03-13
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## 2077 Bihar 2021-03-13
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## 2143 Tripura 2021-03-14
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## 2147 Andaman and Nicobar Islands 2021-03-15
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## 2180 Tripura 2021-03-15
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## 2182 Uttarakhand 2021-03-15
## 2183 West Bengal 2021-03-15
## 2184 Andaman and Nicobar Islands 2021-03-16
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## 2186 Arunachal Pradesh 2021-03-16
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## 2188 Bihar 2021-03-16
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## 2217 Tripura 2021-03-16
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## 2219 Uttarakhand 2021-03-16
## 2220 West Bengal 2021-03-16
## 2221 Andaman and Nicobar Islands 2021-03-17
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## 2223 Arunachal Pradesh 2021-03-17
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## 2237 Karnataka 2021-03-17
## 2238 Kerala 2021-03-17
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## 2254 Tripura 2021-03-17
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## 2258 Andaman and Nicobar Islands 2021-03-18
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## 2273 Jharkhand 2021-03-18
## 2274 Karnataka 2021-03-18
## 2275 Kerala 2021-03-18
## 2276 Ladakh 2021-03-18
## 2277 Lakshadweep 2021-03-18
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## 2291 Tripura 2021-03-18
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## 2293 Uttarakhand 2021-03-18
## 2294 West Bengal 2021-03-18
## 2295 Andaman and Nicobar Islands 2021-03-19
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## 2311 Karnataka 2021-03-19
## 2312 Kerala 2021-03-19
## 2313 Ladakh 2021-03-19
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## 2328 Tripura 2021-03-19
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## 2331 West Bengal 2021-03-19
## 2332 Andaman and Nicobar Islands 2021-03-20
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## 7845 0aggregate(vaccine$covishield_doses ~ vaccine$State + vaccine$updated_on, FUN = mean)## vaccine$State vaccine$updated_on
## 1 Andaman and Nicobar Islands 2021-01-16
## 2 Andhra Pradesh 2021-01-16
## 3 Arunachal Pradesh 2021-01-16
## 4 Assam 2021-01-16
## 5 Bihar 2021-01-16
## 6 Chandigarh 2021-01-16
## 7 Chhattisgarh 2021-01-16
## 8 Dadra and Nagar Haveli and Daman and Diu 2021-01-16
## 9 Delhi 2021-01-16
## 10 Goa 2021-01-16
## 11 Gujarat 2021-01-16
## 12 Haryana 2021-01-16
## 13 Himachal Pradesh 2021-01-16
## 14 India 2021-01-16
## 15 Jammu and Kashmir 2021-01-16
## 16 Jharkhand 2021-01-16
## 17 Karnataka 2021-01-16
## 18 Kerala 2021-01-16
## 19 Ladakh 2021-01-16
## 20 Lakshadweep 2021-01-16
## 21 Madhya Pradesh 2021-01-16
## 22 Maharashtra 2021-01-16
## 23 Manipur 2021-01-16
## 24 Meghalaya 2021-01-16
## 25 Mizoram 2021-01-16
## 26 Nagaland 2021-01-16
## 27 Odisha 2021-01-16
## 28 Puducherry 2021-01-16
## 29 Punjab 2021-01-16
## 30 Rajasthan 2021-01-16
## 31 Sikkim 2021-01-16
## 32 Tamil Nadu 2021-01-16
## 33 Telangana 2021-01-16
## 34 Tripura 2021-01-16
## 35 Uttar Pradesh 2021-01-16
## 36 Uttarakhand 2021-01-16
## 37 West Bengal 2021-01-16
## 38 Andaman and Nicobar Islands 2021-01-17
## 39 Andhra Pradesh 2021-01-17
## 40 Arunachal Pradesh 2021-01-17
## 41 Assam 2021-01-17
## 42 Bihar 2021-01-17
## 43 Chandigarh 2021-01-17
## 44 Chhattisgarh 2021-01-17
## 45 Dadra and Nagar Haveli and Daman and Diu 2021-01-17
## 46 Delhi 2021-01-17
## 47 Goa 2021-01-17
## 48 Gujarat 2021-01-17
## 49 Haryana 2021-01-17
## 50 Himachal Pradesh 2021-01-17
## 51 India 2021-01-17
## 52 Jammu and Kashmir 2021-01-17
## 53 Jharkhand 2021-01-17
## 54 Karnataka 2021-01-17
## 55 Kerala 2021-01-17
## 56 Ladakh 2021-01-17
## 57 Lakshadweep 2021-01-17
## 58 Madhya Pradesh 2021-01-17
## 59 Maharashtra 2021-01-17
## 60 Manipur 2021-01-17
## 61 Meghalaya 2021-01-17
## 62 Mizoram 2021-01-17
## 63 Nagaland 2021-01-17
## 64 Odisha 2021-01-17
## 65 Puducherry 2021-01-17
## 66 Punjab 2021-01-17
## 67 Rajasthan 2021-01-17
## 68 Sikkim 2021-01-17
## 69 Tamil Nadu 2021-01-17
## 70 Telangana 2021-01-17
## 71 Tripura 2021-01-17
## 72 Uttar Pradesh 2021-01-17
## 73 Uttarakhand 2021-01-17
## 74 West Bengal 2021-01-17
## 75 Andaman and Nicobar Islands 2021-01-18
## 76 Andhra Pradesh 2021-01-18
## 77 Arunachal Pradesh 2021-01-18
## 78 Assam 2021-01-18
## 79 Bihar 2021-01-18
## 80 Chandigarh 2021-01-18
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## 1888 Andaman and Nicobar Islands 2021-03-08
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## 1890 Arunachal Pradesh 2021-03-08
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## 1892 Bihar 2021-03-08
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## 1899 Haryana 2021-03-08
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## 1906 Ladakh 2021-03-08
## 1907 Lakshadweep 2021-03-08
## 1908 Madhya Pradesh 2021-03-08
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## 1911 Meghalaya 2021-03-08
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## 1913 Nagaland 2021-03-08
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## 1917 Rajasthan 2021-03-08
## 1918 Sikkim 2021-03-08
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## 1920 Telangana 2021-03-08
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## 1925 Andaman and Nicobar Islands 2021-03-09
## 1926 Andhra Pradesh 2021-03-09
## 1927 Arunachal Pradesh 2021-03-09
## 1928 Assam 2021-03-09
## 1929 Bihar 2021-03-09
## 1930 Chandigarh 2021-03-09
## 1931 Chhattisgarh 2021-03-09
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## 1936 Haryana 2021-03-09
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## 1939 Jammu and Kashmir 2021-03-09
## 1940 Jharkhand 2021-03-09
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## 1942 Kerala 2021-03-09
## 1943 Ladakh 2021-03-09
## 1944 Lakshadweep 2021-03-09
## 1945 Madhya Pradesh 2021-03-09
## 1946 Maharashtra 2021-03-09
## 1947 Manipur 2021-03-09
## 1948 Meghalaya 2021-03-09
## 1949 Mizoram 2021-03-09
## 1950 Nagaland 2021-03-09
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## 1952 Puducherry 2021-03-09
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## 1954 Rajasthan 2021-03-09
## 1955 Sikkim 2021-03-09
## 1956 Tamil Nadu 2021-03-09
## 1957 Telangana 2021-03-09
## 1958 Tripura 2021-03-09
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## 1962 Andaman and Nicobar Islands 2021-03-10
## 1963 Andhra Pradesh 2021-03-10
## 1964 Arunachal Pradesh 2021-03-10
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## 1971 Goa 2021-03-10
## 1972 Gujarat 2021-03-10
## 1973 Haryana 2021-03-10
## 1974 Himachal Pradesh 2021-03-10
## 1975 India 2021-03-10
## 1976 Jammu and Kashmir 2021-03-10
## 1977 Jharkhand 2021-03-10
## 1978 Karnataka 2021-03-10
## 1979 Kerala 2021-03-10
## 1980 Ladakh 2021-03-10
## 1981 Lakshadweep 2021-03-10
## 1982 Madhya Pradesh 2021-03-10
## 1983 Maharashtra 2021-03-10
## 1984 Manipur 2021-03-10
## 1985 Meghalaya 2021-03-10
## 1986 Mizoram 2021-03-10
## 1987 Nagaland 2021-03-10
## 1988 Odisha 2021-03-10
## 1989 Puducherry 2021-03-10
## 1990 Punjab 2021-03-10
## 1991 Rajasthan 2021-03-10
## 1992 Sikkim 2021-03-10
## 1993 Tamil Nadu 2021-03-10
## 1994 Telangana 2021-03-10
## 1995 Tripura 2021-03-10
## 1996 Uttar Pradesh 2021-03-10
## 1997 Uttarakhand 2021-03-10
## 1998 West Bengal 2021-03-10
## 1999 Andaman and Nicobar Islands 2021-03-11
## 2000 Andhra Pradesh 2021-03-11
## 2001 Arunachal Pradesh 2021-03-11
## 2002 Assam 2021-03-11
## 2003 Bihar 2021-03-11
## 2004 Chandigarh 2021-03-11
## 2005 Chhattisgarh 2021-03-11
## 2006 Dadra and Nagar Haveli and Daman and Diu 2021-03-11
## 2007 Delhi 2021-03-11
## 2008 Goa 2021-03-11
## 2009 Gujarat 2021-03-11
## 2010 Haryana 2021-03-11
## 2011 Himachal Pradesh 2021-03-11
## 2012 India 2021-03-11
## 2013 Jammu and Kashmir 2021-03-11
## 2014 Jharkhand 2021-03-11
## 2015 Karnataka 2021-03-11
## 2016 Kerala 2021-03-11
## 2017 Ladakh 2021-03-11
## 2018 Lakshadweep 2021-03-11
## 2019 Madhya Pradesh 2021-03-11
## 2020 Maharashtra 2021-03-11
## 2021 Manipur 2021-03-11
## 2022 Meghalaya 2021-03-11
## 2023 Mizoram 2021-03-11
## 2024 Nagaland 2021-03-11
## 2025 Odisha 2021-03-11
## 2026 Puducherry 2021-03-11
## 2027 Punjab 2021-03-11
## 2028 Rajasthan 2021-03-11
## 2029 Sikkim 2021-03-11
## 2030 Tamil Nadu 2021-03-11
## 2031 Telangana 2021-03-11
## 2032 Tripura 2021-03-11
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## 2034 Uttarakhand 2021-03-11
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## 2291 Tripura 2021-03-18
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## 3204 Maharashtra 2021-04-12
## 3205 Manipur 2021-04-12
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## 3207 Mizoram 2021-04-12
## 3208 Nagaland 2021-04-12
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## 3216 Tripura 2021-04-12
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## 7845 0aggregate(vaccine$sputnik_V_doses ~ vaccine$State + vaccine$updated_on, FUN = mean)## vaccine$State vaccine$updated_on
## 1 Andaman and Nicobar Islands 2021-01-16
## 2 Andhra Pradesh 2021-01-16
## 3 Arunachal Pradesh 2021-01-16
## 4 Assam 2021-01-16
## 5 Bihar 2021-01-16
## 6 Chandigarh 2021-01-16
## 7 Chhattisgarh 2021-01-16
## 8 Dadra and Nagar Haveli and Daman and Diu 2021-01-16
## 9 Delhi 2021-01-16
## 10 Goa 2021-01-16
## 11 Gujarat 2021-01-16
## 12 Haryana 2021-01-16
## 13 Himachal Pradesh 2021-01-16
## 14 India 2021-01-16
## 15 Jammu and Kashmir 2021-01-16
## 16 Jharkhand 2021-01-16
## 17 Karnataka 2021-01-16
## 18 Kerala 2021-01-16
## 19 Ladakh 2021-01-16
## 20 Lakshadweep 2021-01-16
## 21 Madhya Pradesh 2021-01-16
## 22 Maharashtra 2021-01-16
## 23 Manipur 2021-01-16
## 24 Meghalaya 2021-01-16
## 25 Mizoram 2021-01-16
## 26 Nagaland 2021-01-16
## 27 Odisha 2021-01-16
## 28 Puducherry 2021-01-16
## 29 Punjab 2021-01-16
## 30 Rajasthan 2021-01-16
## 31 Sikkim 2021-01-16
## 32 Tamil Nadu 2021-01-16
## 33 Telangana 2021-01-16
## 34 Tripura 2021-01-16
## 35 Uttar Pradesh 2021-01-16
## 36 Uttarakhand 2021-01-16
## 37 West Bengal 2021-01-16
## 38 Andaman and Nicobar Islands 2021-01-17
## 39 Andhra Pradesh 2021-01-17
## 40 Arunachal Pradesh 2021-01-17
## 41 Assam 2021-01-17
## 42 Bihar 2021-01-17
## 43 Chandigarh 2021-01-17
## 44 Chhattisgarh 2021-01-17
## 45 Dadra and Nagar Haveli and Daman and Diu 2021-01-17
## 46 Delhi 2021-01-17
## 47 Goa 2021-01-17
## 48 Gujarat 2021-01-17
## 49 Haryana 2021-01-17
## 50 Himachal Pradesh 2021-01-17
## 51 India 2021-01-17
## 52 Jammu and Kashmir 2021-01-17
## 53 Jharkhand 2021-01-17
## 54 Karnataka 2021-01-17
## 55 Kerala 2021-01-17
## 56 Ladakh 2021-01-17
## 57 Lakshadweep 2021-01-17
## 58 Madhya Pradesh 2021-01-17
## 59 Maharashtra 2021-01-17
## 60 Manipur 2021-01-17
## 61 Meghalaya 2021-01-17
## 62 Mizoram 2021-01-17
## 63 Nagaland 2021-01-17
## 64 Odisha 2021-01-17
## 65 Puducherry 2021-01-17
## 66 Punjab 2021-01-17
## 67 Rajasthan 2021-01-17
## 68 Sikkim 2021-01-17
## 69 Tamil Nadu 2021-01-17
## 70 Telangana 2021-01-17
## 71 Tripura 2021-01-17
## 72 Uttar Pradesh 2021-01-17
## 73 Uttarakhand 2021-01-17
## 74 West Bengal 2021-01-17
## 75 Andaman and Nicobar Islands 2021-01-18
## 76 Andhra Pradesh 2021-01-18
## 77 Arunachal Pradesh 2021-01-18
## 78 Assam 2021-01-18
## 79 Bihar 2021-01-18
## 80 Chandigarh 2021-01-18
## 81 Chhattisgarh 2021-01-18
## 82 Dadra and Nagar Haveli and Daman and Diu 2021-01-18
## 83 Delhi 2021-01-18
## 84 Goa 2021-01-18
## 85 Gujarat 2021-01-18
## 86 Haryana 2021-01-18
## 87 Himachal Pradesh 2021-01-18
## 88 India 2021-01-18
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## 1890 Arunachal Pradesh 2021-03-08
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## 1892 Bihar 2021-03-08
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## 1899 Haryana 2021-03-08
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## 1905 Kerala 2021-03-08
## 1906 Ladakh 2021-03-08
## 1907 Lakshadweep 2021-03-08
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## 1911 Meghalaya 2021-03-08
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## 1913 Nagaland 2021-03-08
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## 1917 Rajasthan 2021-03-08
## 1918 Sikkim 2021-03-08
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## 1920 Telangana 2021-03-08
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## 1923 Uttarakhand 2021-03-08
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## 1925 Andaman and Nicobar Islands 2021-03-09
## 1926 Andhra Pradesh 2021-03-09
## 1927 Arunachal Pradesh 2021-03-09
## 1928 Assam 2021-03-09
## 1929 Bihar 2021-03-09
## 1930 Chandigarh 2021-03-09
## 1931 Chhattisgarh 2021-03-09
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## 1936 Haryana 2021-03-09
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## 1939 Jammu and Kashmir 2021-03-09
## 1940 Jharkhand 2021-03-09
## 1941 Karnataka 2021-03-09
## 1942 Kerala 2021-03-09
## 1943 Ladakh 2021-03-09
## 1944 Lakshadweep 2021-03-09
## 1945 Madhya Pradesh 2021-03-09
## 1946 Maharashtra 2021-03-09
## 1947 Manipur 2021-03-09
## 1948 Meghalaya 2021-03-09
## 1949 Mizoram 2021-03-09
## 1950 Nagaland 2021-03-09
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## 1952 Puducherry 2021-03-09
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## 1954 Rajasthan 2021-03-09
## 1955 Sikkim 2021-03-09
## 1956 Tamil Nadu 2021-03-09
## 1957 Telangana 2021-03-09
## 1958 Tripura 2021-03-09
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## 1962 Andaman and Nicobar Islands 2021-03-10
## 1963 Andhra Pradesh 2021-03-10
## 1964 Arunachal Pradesh 2021-03-10
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## 1977 Jharkhand 2021-03-10
## 1978 Karnataka 2021-03-10
## 1979 Kerala 2021-03-10
## 1980 Ladakh 2021-03-10
## 1981 Lakshadweep 2021-03-10
## 1982 Madhya Pradesh 2021-03-10
## 1983 Maharashtra 2021-03-10
## 1984 Manipur 2021-03-10
## 1985 Meghalaya 2021-03-10
## 1986 Mizoram 2021-03-10
## 1987 Nagaland 2021-03-10
## 1988 Odisha 2021-03-10
## 1989 Puducherry 2021-03-10
## 1990 Punjab 2021-03-10
## 1991 Rajasthan 2021-03-10
## 1992 Sikkim 2021-03-10
## 1993 Tamil Nadu 2021-03-10
## 1994 Telangana 2021-03-10
## 1995 Tripura 2021-03-10
## 1996 Uttar Pradesh 2021-03-10
## 1997 Uttarakhand 2021-03-10
## 1998 West Bengal 2021-03-10
## 1999 Andaman and Nicobar Islands 2021-03-11
## 2000 Andhra Pradesh 2021-03-11
## 2001 Arunachal Pradesh 2021-03-11
## 2002 Assam 2021-03-11
## 2003 Bihar 2021-03-11
## 2004 Chandigarh 2021-03-11
## 2005 Chhattisgarh 2021-03-11
## 2006 Dadra and Nagar Haveli and Daman and Diu 2021-03-11
## 2007 Delhi 2021-03-11
## 2008 Goa 2021-03-11
## 2009 Gujarat 2021-03-11
## 2010 Haryana 2021-03-11
## 2011 Himachal Pradesh 2021-03-11
## 2012 India 2021-03-11
## 2013 Jammu and Kashmir 2021-03-11
## 2014 Jharkhand 2021-03-11
## 2015 Karnataka 2021-03-11
## 2016 Kerala 2021-03-11
## 2017 Ladakh 2021-03-11
## 2018 Lakshadweep 2021-03-11
## 2019 Madhya Pradesh 2021-03-11
## 2020 Maharashtra 2021-03-11
## 2021 Manipur 2021-03-11
## 2022 Meghalaya 2021-03-11
## 2023 Mizoram 2021-03-11
## 2024 Nagaland 2021-03-11
## 2025 Odisha 2021-03-11
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## 2030 Tamil Nadu 2021-03-11
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## 3216 Tripura 2021-04-12
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## 3218 Uttarakhand 2021-04-12
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## 1767 Puducherry 2021-03-04
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## 1773 Tripura 2021-03-04
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## 1866 Jharkhand 2021-03-07
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## 1892 Bihar 2021-03-08
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## 1897 Goa 2021-03-08
## 1898 Gujarat 2021-03-08
## 1899 Haryana 2021-03-08
## 1900 Himachal Pradesh 2021-03-08
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## 1903 Jharkhand 2021-03-08
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## 1905 Kerala 2021-03-08
## 1906 Ladakh 2021-03-08
## 1907 Lakshadweep 2021-03-08
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## 1911 Meghalaya 2021-03-08
## 1912 Mizoram 2021-03-08
## 1913 Nagaland 2021-03-08
## 1914 Odisha 2021-03-08
## 1915 Puducherry 2021-03-08
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## 1917 Rajasthan 2021-03-08
## 1918 Sikkim 2021-03-08
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## 1927 Arunachal Pradesh 2021-03-09
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## 1929 Bihar 2021-03-09
## 1930 Chandigarh 2021-03-09
## 1931 Chhattisgarh 2021-03-09
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## 1935 Gujarat 2021-03-09
## 1936 Haryana 2021-03-09
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## 1939 Jammu and Kashmir 2021-03-09
## 1940 Jharkhand 2021-03-09
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## 1942 Kerala 2021-03-09
## 1943 Ladakh 2021-03-09
## 1944 Lakshadweep 2021-03-09
## 1945 Madhya Pradesh 2021-03-09
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## 1950 Nagaland 2021-03-09
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## 1954 Rajasthan 2021-03-09
## 1955 Sikkim 2021-03-09
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## 1957 Telangana 2021-03-09
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## 1968 Chhattisgarh 2021-03-10
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## 1973 Haryana 2021-03-10
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## 1977 Jharkhand 2021-03-10
## 1978 Karnataka 2021-03-10
## 1979 Kerala 2021-03-10
## 1980 Ladakh 2021-03-10
## 1981 Lakshadweep 2021-03-10
## 1982 Madhya Pradesh 2021-03-10
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## 1984 Manipur 2021-03-10
## 1985 Meghalaya 2021-03-10
## 1986 Mizoram 2021-03-10
## 1987 Nagaland 2021-03-10
## 1988 Odisha 2021-03-10
## 1989 Puducherry 2021-03-10
## 1990 Punjab 2021-03-10
## 1991 Rajasthan 2021-03-10
## 1992 Sikkim 2021-03-10
## 1993 Tamil Nadu 2021-03-10
## 1994 Telangana 2021-03-10
## 1995 Tripura 2021-03-10
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## 1997 Uttarakhand 2021-03-10
## 1998 West Bengal 2021-03-10
## 1999 Andaman and Nicobar Islands 2021-03-11
## 2000 Andhra Pradesh 2021-03-11
## 2001 Arunachal Pradesh 2021-03-11
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## 2003 Bihar 2021-03-11
## 2004 Chandigarh 2021-03-11
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## 2010 Haryana 2021-03-11
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## 2014 Jharkhand 2021-03-11
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## 2017 Ladakh 2021-03-11
## 2018 Lakshadweep 2021-03-11
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## 3009 Haryana 2021-04-07
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## 3012 Jammu and Kashmir 2021-04-07
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## 7845 0aggregate(vaccine$females_vaccinated ~ vaccine$State + vaccine$updated_on, FUN = mean)## vaccine$State vaccine$updated_on
## 1 Andaman and Nicobar Islands 2021-01-16
## 2 Andhra Pradesh 2021-01-16
## 3 Arunachal Pradesh 2021-01-16
## 4 Assam 2021-01-16
## 5 Bihar 2021-01-16
## 6 Chandigarh 2021-01-16
## 7 Chhattisgarh 2021-01-16
## 8 Dadra and Nagar Haveli and Daman and Diu 2021-01-16
## 9 Delhi 2021-01-16
## 10 Goa 2021-01-16
## 11 Gujarat 2021-01-16
## 12 Haryana 2021-01-16
## 13 Himachal Pradesh 2021-01-16
## 14 India 2021-01-16
## 15 Jammu and Kashmir 2021-01-16
## 16 Jharkhand 2021-01-16
## 17 Karnataka 2021-01-16
## 18 Kerala 2021-01-16
## 19 Ladakh 2021-01-16
## 20 Lakshadweep 2021-01-16
## 21 Madhya Pradesh 2021-01-16
## 22 Maharashtra 2021-01-16
## 23 Manipur 2021-01-16
## 24 Meghalaya 2021-01-16
## 25 Mizoram 2021-01-16
## 26 Nagaland 2021-01-16
## 27 Odisha 2021-01-16
## 28 Puducherry 2021-01-16
## 29 Punjab 2021-01-16
## 30 Rajasthan 2021-01-16
## 31 Sikkim 2021-01-16
## 32 Tamil Nadu 2021-01-16
## 33 Telangana 2021-01-16
## 34 Tripura 2021-01-16
## 35 Uttar Pradesh 2021-01-16
## 36 Uttarakhand 2021-01-16
## 37 West Bengal 2021-01-16
## 38 Andaman and Nicobar Islands 2021-01-17
## 39 Andhra Pradesh 2021-01-17
## 40 Arunachal Pradesh 2021-01-17
## 41 Assam 2021-01-17
## 42 Bihar 2021-01-17
## 43 Chandigarh 2021-01-17
## 44 Chhattisgarh 2021-01-17
## 45 Dadra and Nagar Haveli and Daman and Diu 2021-01-17
## 46 Delhi 2021-01-17
## 47 Goa 2021-01-17
## 48 Gujarat 2021-01-17
## 49 Haryana 2021-01-17
## 50 Himachal Pradesh 2021-01-17
## 51 India 2021-01-17
## 52 Jammu and Kashmir 2021-01-17
## 53 Jharkhand 2021-01-17
## 54 Karnataka 2021-01-17
## 55 Kerala 2021-01-17
## 56 Ladakh 2021-01-17
## 57 Lakshadweep 2021-01-17
## 58 Madhya Pradesh 2021-01-17
## 59 Maharashtra 2021-01-17
## 60 Manipur 2021-01-17
## 61 Meghalaya 2021-01-17
## 62 Mizoram 2021-01-17
## 63 Nagaland 2021-01-17
## 64 Odisha 2021-01-17
## 65 Puducherry 2021-01-17
## 66 Punjab 2021-01-17
## 67 Rajasthan 2021-01-17
## 68 Sikkim 2021-01-17
## 69 Tamil Nadu 2021-01-17
## 70 Telangana 2021-01-17
## 71 Tripura 2021-01-17
## 72 Uttar Pradesh 2021-01-17
## 73 Uttarakhand 2021-01-17
## 74 West Bengal 2021-01-17
## 75 Andaman and Nicobar Islands 2021-01-18
## 76 Andhra Pradesh 2021-01-18
## 77 Arunachal Pradesh 2021-01-18
## 78 Assam 2021-01-18
## 79 Bihar 2021-01-18
## 80 Chandigarh 2021-01-18
## 81 Chhattisgarh 2021-01-18
## 82 Dadra and Nagar Haveli and Daman and Diu 2021-01-18
## 83 Delhi 2021-01-18
## 84 Goa 2021-01-18
## 85 Gujarat 2021-01-18
## 86 Haryana 2021-01-18
## 87 Himachal Pradesh 2021-01-18
## 88 India 2021-01-18
## 89 Jammu and Kashmir 2021-01-18
## 90 Jharkhand 2021-01-18
## 91 Karnataka 2021-01-18
## 92 Kerala 2021-01-18
## 93 Ladakh 2021-01-18
## 94 Lakshadweep 2021-01-18
## 95 Madhya Pradesh 2021-01-18
## 96 Maharashtra 2021-01-18
## 97 Manipur 2021-01-18
## 98 Meghalaya 2021-01-18
## 99 Mizoram 2021-01-18
## 100 Nagaland 2021-01-18
## 101 Odisha 2021-01-18
## 102 Puducherry 2021-01-18
## 103 Punjab 2021-01-18
## 104 Rajasthan 2021-01-18
## 105 Sikkim 2021-01-18
## 106 Tamil Nadu 2021-01-18
## 107 Telangana 2021-01-18
## 108 Tripura 2021-01-18
## 109 Uttar Pradesh 2021-01-18
## 110 Uttarakhand 2021-01-18
## 111 West Bengal 2021-01-18
## 112 Andaman and Nicobar Islands 2021-01-19
## 113 Andhra Pradesh 2021-01-19
## 114 Arunachal Pradesh 2021-01-19
## 115 Assam 2021-01-19
## 116 Bihar 2021-01-19
## 117 Chandigarh 2021-01-19
## 118 Chhattisgarh 2021-01-19
## 119 Dadra and Nagar Haveli and Daman and Diu 2021-01-19
## 120 Delhi 2021-01-19
## 121 Goa 2021-01-19
## 122 Gujarat 2021-01-19
## 123 Haryana 2021-01-19
## 124 Himachal Pradesh 2021-01-19
## 125 India 2021-01-19
## 126 Jammu and Kashmir 2021-01-19
## 127 Jharkhand 2021-01-19
## 128 Karnataka 2021-01-19
## 129 Kerala 2021-01-19
## 130 Ladakh 2021-01-19
## 131 Lakshadweep 2021-01-19
## 132 Madhya Pradesh 2021-01-19
## 133 Maharashtra 2021-01-19
## 134 Manipur 2021-01-19
## 135 Meghalaya 2021-01-19
## 136 Mizoram 2021-01-19
## 137 Nagaland 2021-01-19
## 138 Odisha 2021-01-19
## 139 Puducherry 2021-01-19
## 140 Punjab 2021-01-19
## 141 Rajasthan 2021-01-19
## 142 Sikkim 2021-01-19
## 143 Tamil Nadu 2021-01-19
## 144 Telangana 2021-01-19
## 145 Tripura 2021-01-19
## 146 Uttar Pradesh 2021-01-19
## 147 Uttarakhand 2021-01-19
## 148 West Bengal 2021-01-19
## 149 Andaman and Nicobar Islands 2021-01-20
## 150 Andhra Pradesh 2021-01-20
## 151 Arunachal Pradesh 2021-01-20
## 152 Assam 2021-01-20
## 153 Bihar 2021-01-20
## 154 Chandigarh 2021-01-20
## 155 Chhattisgarh 2021-01-20
## 156 Dadra and Nagar Haveli and Daman and Diu 2021-01-20
## 157 Delhi 2021-01-20
## 158 Goa 2021-01-20
## 159 Gujarat 2021-01-20
## 160 Haryana 2021-01-20
## 161 Himachal Pradesh 2021-01-20
## 162 India 2021-01-20
## 163 Jammu and Kashmir 2021-01-20
## 164 Jharkhand 2021-01-20
## 165 Karnataka 2021-01-20
## 166 Kerala 2021-01-20
## 167 Ladakh 2021-01-20
## 168 Lakshadweep 2021-01-20
## 169 Madhya Pradesh 2021-01-20
## 170 Maharashtra 2021-01-20
## 171 Manipur 2021-01-20
## 172 Meghalaya 2021-01-20
## 173 Mizoram 2021-01-20
## 174 Nagaland 2021-01-20
## 175 Odisha 2021-01-20
## 176 Puducherry 2021-01-20
## 177 Punjab 2021-01-20
## 178 Rajasthan 2021-01-20
## 179 Sikkim 2021-01-20
## 180 Tamil Nadu 2021-01-20
## 181 Telangana 2021-01-20
## 182 Tripura 2021-01-20
## 183 Uttar Pradesh 2021-01-20
## 184 Uttarakhand 2021-01-20
## 185 West Bengal 2021-01-20
## 186 Andaman and Nicobar Islands 2021-01-21
## 187 Andhra Pradesh 2021-01-21
## 188 Arunachal Pradesh 2021-01-21
## 189 Assam 2021-01-21
## 190 Bihar 2021-01-21
## 191 Chandigarh 2021-01-21
## 192 Chhattisgarh 2021-01-21
## 193 Dadra and Nagar Haveli and Daman and Diu 2021-01-21
## 194 Delhi 2021-01-21
## 195 Goa 2021-01-21
## 196 Gujarat 2021-01-21
## 197 Haryana 2021-01-21
## 198 Himachal Pradesh 2021-01-21
## 199 India 2021-01-21
## 200 Jammu and Kashmir 2021-01-21
## 201 Jharkhand 2021-01-21
## 202 Karnataka 2021-01-21
## 203 Kerala 2021-01-21
## 204 Ladakh 2021-01-21
## 205 Lakshadweep 2021-01-21
## 206 Madhya Pradesh 2021-01-21
## 207 Maharashtra 2021-01-21
## 208 Manipur 2021-01-21
## 209 Meghalaya 2021-01-21
## 210 Mizoram 2021-01-21
## 211 Nagaland 2021-01-21
## 212 Odisha 2021-01-21
## 213 Puducherry 2021-01-21
## 214 Punjab 2021-01-21
## 215 Rajasthan 2021-01-21
## 216 Sikkim 2021-01-21
## 217 Tamil Nadu 2021-01-21
## 218 Telangana 2021-01-21
## 219 Tripura 2021-01-21
## 220 Uttar Pradesh 2021-01-21
## 221 Uttarakhand 2021-01-21
## 222 West Bengal 2021-01-21
## 223 Andaman and Nicobar Islands 2021-01-22
## 224 Andhra Pradesh 2021-01-22
## 225 Arunachal Pradesh 2021-01-22
## 226 Assam 2021-01-22
## 227 Bihar 2021-01-22
## 228 Chandigarh 2021-01-22
## 229 Chhattisgarh 2021-01-22
## 230 Dadra and Nagar Haveli and Daman and Diu 2021-01-22
## 231 Delhi 2021-01-22
## 232 Goa 2021-01-22
## 233 Gujarat 2021-01-22
## 234 Haryana 2021-01-22
## 235 Himachal Pradesh 2021-01-22
## 236 India 2021-01-22
## 237 Jammu and Kashmir 2021-01-22
## 238 Jharkhand 2021-01-22
## 239 Karnataka 2021-01-22
## 240 Kerala 2021-01-22
## 241 Ladakh 2021-01-22
## 242 Lakshadweep 2021-01-22
## 243 Madhya Pradesh 2021-01-22
## 244 Maharashtra 2021-01-22
## 245 Manipur 2021-01-22
## 246 Meghalaya 2021-01-22
## 247 Mizoram 2021-01-22
## 248 Nagaland 2021-01-22
## 249 Odisha 2021-01-22
## 250 Puducherry 2021-01-22
## 251 Punjab 2021-01-22
## 252 Rajasthan 2021-01-22
## 253 Sikkim 2021-01-22
## 254 Tamil Nadu 2021-01-22
## 255 Telangana 2021-01-22
## 256 Tripura 2021-01-22
## 257 Uttar Pradesh 2021-01-22
## 258 Uttarakhand 2021-01-22
## 259 West Bengal 2021-01-22
## 260 Andaman and Nicobar Islands 2021-01-23
## 261 Andhra Pradesh 2021-01-23
## 262 Arunachal Pradesh 2021-01-23
## 263 Assam 2021-01-23
## 264 Bihar 2021-01-23
## 265 Chandigarh 2021-01-23
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## 1867 Karnataka 2021-03-07
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## 1888 Andaman and Nicobar Islands 2021-03-08
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## 1890 Arunachal Pradesh 2021-03-08
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## 1892 Bihar 2021-03-08
## 1893 Chandigarh 2021-03-08
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## 1896 Delhi 2021-03-08
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## 1898 Gujarat 2021-03-08
## 1899 Haryana 2021-03-08
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## 1903 Jharkhand 2021-03-08
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## 1905 Kerala 2021-03-08
## 1906 Ladakh 2021-03-08
## 1907 Lakshadweep 2021-03-08
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## 1912 Mizoram 2021-03-08
## 1913 Nagaland 2021-03-08
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## 1915 Puducherry 2021-03-08
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## 1917 Rajasthan 2021-03-08
## 1918 Sikkim 2021-03-08
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## 1925 Andaman and Nicobar Islands 2021-03-09
## 1926 Andhra Pradesh 2021-03-09
## 1927 Arunachal Pradesh 2021-03-09
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## 1929 Bihar 2021-03-09
## 1930 Chandigarh 2021-03-09
## 1931 Chhattisgarh 2021-03-09
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## 1936 Haryana 2021-03-09
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## 1940 Jharkhand 2021-03-09
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## 1943 Ladakh 2021-03-09
## 1944 Lakshadweep 2021-03-09
## 1945 Madhya Pradesh 2021-03-09
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## 1949 Mizoram 2021-03-09
## 1950 Nagaland 2021-03-09
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## 1954 Rajasthan 2021-03-09
## 1955 Sikkim 2021-03-09
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## 1957 Telangana 2021-03-09
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## 1963 Andhra Pradesh 2021-03-10
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## 1968 Chhattisgarh 2021-03-10
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## 1973 Haryana 2021-03-10
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## 1977 Jharkhand 2021-03-10
## 1978 Karnataka 2021-03-10
## 1979 Kerala 2021-03-10
## 1980 Ladakh 2021-03-10
## 1981 Lakshadweep 2021-03-10
## 1982 Madhya Pradesh 2021-03-10
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## 1985 Meghalaya 2021-03-10
## 1986 Mizoram 2021-03-10
## 1987 Nagaland 2021-03-10
## 1988 Odisha 2021-03-10
## 1989 Puducherry 2021-03-10
## 1990 Punjab 2021-03-10
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## 1992 Sikkim 2021-03-10
## 1993 Tamil Nadu 2021-03-10
## 1994 Telangana 2021-03-10
## 1995 Tripura 2021-03-10
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## 1999 Andaman and Nicobar Islands 2021-03-11
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## 2003 Bihar 2021-03-11
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## 1886 Uttarakhand 2021-03-07
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## 1888 Andaman and Nicobar Islands 2021-03-08
## 1889 Andhra Pradesh 2021-03-08
## 1890 Arunachal Pradesh 2021-03-08
## 1891 Assam 2021-03-08
## 1892 Bihar 2021-03-08
## 1893 Chandigarh 2021-03-08
## 1894 Chhattisgarh 2021-03-08
## 1895 Dadra and Nagar Haveli and Daman and Diu 2021-03-08
## 1896 Delhi 2021-03-08
## 1897 Goa 2021-03-08
## 1898 Gujarat 2021-03-08
## 1899 Haryana 2021-03-08
## 1900 Himachal Pradesh 2021-03-08
## 1901 India 2021-03-08
## 1902 Jammu and Kashmir 2021-03-08
## 1903 Jharkhand 2021-03-08
## 1904 Karnataka 2021-03-08
## 1905 Kerala 2021-03-08
## 1906 Ladakh 2021-03-08
## 1907 Lakshadweep 2021-03-08
## 1908 Madhya Pradesh 2021-03-08
## 1909 Maharashtra 2021-03-08
## 1910 Manipur 2021-03-08
## 1911 Meghalaya 2021-03-08
## 1912 Mizoram 2021-03-08
## 1913 Nagaland 2021-03-08
## 1914 Odisha 2021-03-08
## 1915 Puducherry 2021-03-08
## 1916 Punjab 2021-03-08
## 1917 Rajasthan 2021-03-08
## 1918 Sikkim 2021-03-08
## 1919 Tamil Nadu 2021-03-08
## 1920 Telangana 2021-03-08
## 1921 Tripura 2021-03-08
## 1922 Uttar Pradesh 2021-03-08
## 1923 Uttarakhand 2021-03-08
## 1924 West Bengal 2021-03-08
## 1925 Andaman and Nicobar Islands 2021-03-09
## 1926 Andhra Pradesh 2021-03-09
## 1927 Arunachal Pradesh 2021-03-09
## 1928 Assam 2021-03-09
## 1929 Bihar 2021-03-09
## 1930 Chandigarh 2021-03-09
## 1931 Chhattisgarh 2021-03-09
## 1932 Dadra and Nagar Haveli and Daman and Diu 2021-03-09
## 1933 Delhi 2021-03-09
## 1934 Goa 2021-03-09
## 1935 Gujarat 2021-03-09
## 1936 Haryana 2021-03-09
## 1937 Himachal Pradesh 2021-03-09
## 1938 India 2021-03-09
## 1939 Jammu and Kashmir 2021-03-09
## 1940 Jharkhand 2021-03-09
## 1941 Karnataka 2021-03-09
## 1942 Kerala 2021-03-09
## 1943 Ladakh 2021-03-09
## 1944 Lakshadweep 2021-03-09
## 1945 Madhya Pradesh 2021-03-09
## 1946 Maharashtra 2021-03-09
## 1947 Manipur 2021-03-09
## 1948 Meghalaya 2021-03-09
## 1949 Mizoram 2021-03-09
## 1950 Nagaland 2021-03-09
## 1951 Odisha 2021-03-09
## 1952 Puducherry 2021-03-09
## 1953 Punjab 2021-03-09
## 1954 Rajasthan 2021-03-09
## 1955 Sikkim 2021-03-09
## 1956 Tamil Nadu 2021-03-09
## 1957 Telangana 2021-03-09
## 1958 Tripura 2021-03-09
## 1959 Uttar Pradesh 2021-03-09
## 1960 Uttarakhand 2021-03-09
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## 1962 Andaman and Nicobar Islands 2021-03-10
## 1963 Andhra Pradesh 2021-03-10
## 1964 Arunachal Pradesh 2021-03-10
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## 1966 Bihar 2021-03-10
## 1967 Chandigarh 2021-03-10
## 1968 Chhattisgarh 2021-03-10
## 1969 Dadra and Nagar Haveli and Daman and Diu 2021-03-10
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## 1972 Gujarat 2021-03-10
## 1973 Haryana 2021-03-10
## 1974 Himachal Pradesh 2021-03-10
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## 1976 Jammu and Kashmir 2021-03-10
## 1977 Jharkhand 2021-03-10
## 1978 Karnataka 2021-03-10
## 1979 Kerala 2021-03-10
## 1980 Ladakh 2021-03-10
## 1981 Lakshadweep 2021-03-10
## 1982 Madhya Pradesh 2021-03-10
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## 1984 Manipur 2021-03-10
## 1985 Meghalaya 2021-03-10
## 1986 Mizoram 2021-03-10
## 1987 Nagaland 2021-03-10
## 1988 Odisha 2021-03-10
## 1989 Puducherry 2021-03-10
## 1990 Punjab 2021-03-10
## 1991 Rajasthan 2021-03-10
## 1992 Sikkim 2021-03-10
## 1993 Tamil Nadu 2021-03-10
## 1994 Telangana 2021-03-10
## 1995 Tripura 2021-03-10
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## 1997 Uttarakhand 2021-03-10
## 1998 West Bengal 2021-03-10
## 1999 Andaman and Nicobar Islands 2021-03-11
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## 2003 Bihar 2021-03-11
## 2004 Chandigarh 2021-03-11
## 2005 Chhattisgarh 2021-03-11
## 2006 Dadra and Nagar Haveli and Daman and Diu 2021-03-11
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## 2010 Haryana 2021-03-11
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## 2014 Jharkhand 2021-03-11
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## 2016 Kerala 2021-03-11
## 2017 Ladakh 2021-03-11
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## 3142 Tripura 2021-04-10
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## 3144 Uttarakhand 2021-04-10
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## 3738 Andaman and Nicobar Islands 2021-04-27
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## 4973 Jammu and Kashmir 2021-05-30
## 4974 Jharkhand 2021-05-30
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## 4979 Madhya Pradesh 2021-05-30
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## 2 Andhra Pradesh 2021-01-16
## 3 Arunachal Pradesh 2021-01-16
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## 9 Delhi 2021-01-16
## 10 Goa 2021-01-16
## 11 Gujarat 2021-01-16
## 12 Haryana 2021-01-16
## 13 Himachal Pradesh 2021-01-16
## 14 India 2021-01-16
## 15 Jammu and Kashmir 2021-01-16
## 16 Jharkhand 2021-01-16
## 17 Karnataka 2021-01-16
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## 21 Madhya Pradesh 2021-01-16
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## 23 Manipur 2021-01-16
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## 28 Puducherry 2021-01-16
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## 45 Dadra and Nagar Haveli and Daman and Diu 2021-01-17
## 46 Delhi 2021-01-17
## 47 Goa 2021-01-17
## 48 Gujarat 2021-01-17
## 49 Haryana 2021-01-17
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## 52 Jammu and Kashmir 2021-01-17
## 53 Jharkhand 2021-01-17
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## 75 Andaman and Nicobar Islands 2021-01-18
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## 112 Andaman and Nicobar Islands 2021-01-19
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## 157 Delhi 2021-01-20
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## 193 Dadra and Nagar Haveli and Daman and Diu 2021-01-21
## 194 Delhi 2021-01-21
## 195 Goa 2021-01-21
## 196 Gujarat 2021-01-21
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## 200 Jammu and Kashmir 2021-01-21
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## 206 Madhya Pradesh 2021-01-21
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## 215 Rajasthan 2021-01-21
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## 223 Andaman and Nicobar Islands 2021-01-22
## 224 Andhra Pradesh 2021-01-22
## 225 Arunachal Pradesh 2021-01-22
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## 228 Chandigarh 2021-01-22
## 229 Chhattisgarh 2021-01-22
## 230 Dadra and Nagar Haveli and Daman and Diu 2021-01-22
## 231 Delhi 2021-01-22
## 232 Goa 2021-01-22
## 233 Gujarat 2021-01-22
## 234 Haryana 2021-01-22
## 235 Himachal Pradesh 2021-01-22
## 236 India 2021-01-22
## 237 Jammu and Kashmir 2021-01-22
## 238 Jharkhand 2021-01-22
## 239 Karnataka 2021-01-22
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## 241 Ladakh 2021-01-22
## 242 Lakshadweep 2021-01-22
## 243 Madhya Pradesh 2021-01-22
## 244 Maharashtra 2021-01-22
## 245 Manipur 2021-01-22
## 246 Meghalaya 2021-01-22
## 247 Mizoram 2021-01-22
## 248 Nagaland 2021-01-22
## 249 Odisha 2021-01-22
## 250 Puducherry 2021-01-22
## 251 Punjab 2021-01-22
## 252 Rajasthan 2021-01-22
## 253 Sikkim 2021-01-22
## 254 Tamil Nadu 2021-01-22
## 255 Telangana 2021-01-22
## 256 Tripura 2021-01-22
## 257 Uttar Pradesh 2021-01-22
## 258 Uttarakhand 2021-01-22
## 259 West Bengal 2021-01-22
## 260 Andaman and Nicobar Islands 2021-01-23
## 261 Andhra Pradesh 2021-01-23
## 262 Arunachal Pradesh 2021-01-23
## 263 Assam 2021-01-23
## 264 Bihar 2021-01-23
## 265 Chandigarh 2021-01-23
## 266 Chhattisgarh 2021-01-23
## 267 Dadra and Nagar Haveli and Daman and Diu 2021-01-23
## 268 Delhi 2021-01-23
## 269 Goa 2021-01-23
## 270 Gujarat 2021-01-23
## 271 Haryana 2021-01-23
## 272 Himachal Pradesh 2021-01-23
## 273 India 2021-01-23
## 274 Jammu and Kashmir 2021-01-23
## 275 Jharkhand 2021-01-23
## 276 Karnataka 2021-01-23
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## 278 Ladakh 2021-01-23
## 279 Lakshadweep 2021-01-23
## 280 Madhya Pradesh 2021-01-23
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## 282 Manipur 2021-01-23
## 283 Meghalaya 2021-01-23
## 284 Mizoram 2021-01-23
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## 289 Rajasthan 2021-01-23
## 290 Sikkim 2021-01-23
## 291 Tamil Nadu 2021-01-23
## 292 Telangana 2021-01-23
## 293 Tripura 2021-01-23
## 294 Uttar Pradesh 2021-01-23
## 295 Uttarakhand 2021-01-23
## 296 West Bengal 2021-01-23
## 297 Andaman and Nicobar Islands 2021-01-24
## 298 Andhra Pradesh 2021-01-24
## 299 Arunachal Pradesh 2021-01-24
## 300 Assam 2021-01-24
## 301 Bihar 2021-01-24
## 302 Chandigarh 2021-01-24
## 303 Chhattisgarh 2021-01-24
## 304 Dadra and Nagar Haveli and Daman and Diu 2021-01-24
## 305 Delhi 2021-01-24
## 306 Goa 2021-01-24
## 307 Gujarat 2021-01-24
## 308 Haryana 2021-01-24
## 309 Himachal Pradesh 2021-01-24
## 310 India 2021-01-24
## 311 Jammu and Kashmir 2021-01-24
## 312 Jharkhand 2021-01-24
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## 326 Rajasthan 2021-01-24
## 327 Sikkim 2021-01-24
## 328 Tamil Nadu 2021-01-24
## 329 Telangana 2021-01-24
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## 332 Uttarakhand 2021-01-24
## 333 West Bengal 2021-01-24
## 334 Andaman and Nicobar Islands 2021-01-25
## 335 Andhra Pradesh 2021-01-25
## 336 Arunachal Pradesh 2021-01-25
## 337 Assam 2021-01-25
## 338 Bihar 2021-01-25
## 339 Chandigarh 2021-01-25
## 340 Chhattisgarh 2021-01-25
## 341 Dadra and Nagar Haveli and Daman and Diu 2021-01-25
## 342 Delhi 2021-01-25
## 343 Goa 2021-01-25
## 344 Gujarat 2021-01-25
## 345 Haryana 2021-01-25
## 346 Himachal Pradesh 2021-01-25
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## 348 Jammu and Kashmir 2021-01-25
## 349 Jharkhand 2021-01-25
## 350 Karnataka 2021-01-25
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## 352 Ladakh 2021-01-25
## 353 Lakshadweep 2021-01-25
## 354 Madhya Pradesh 2021-01-25
## 355 Maharashtra 2021-01-25
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## 359 Nagaland 2021-01-25
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## 363 Rajasthan 2021-01-25
## 364 Sikkim 2021-01-25
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## 366 Telangana 2021-01-25
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## 369 Uttarakhand 2021-01-25
## 370 West Bengal 2021-01-25
## 371 Andaman and Nicobar Islands 2021-01-26
## 372 Andhra Pradesh 2021-01-26
## 373 Arunachal Pradesh 2021-01-26
## 374 Assam 2021-01-26
## 375 Bihar 2021-01-26
## 376 Chandigarh 2021-01-26
## 377 Chhattisgarh 2021-01-26
## 378 Dadra and Nagar Haveli and Daman and Diu 2021-01-26
## 379 Delhi 2021-01-26
## 380 Goa 2021-01-26
## 381 Gujarat 2021-01-26
## 382 Haryana 2021-01-26
## 383 Himachal Pradesh 2021-01-26
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## 385 Jammu and Kashmir 2021-01-26
## 386 Jharkhand 2021-01-26
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## 391 Madhya Pradesh 2021-01-26
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## 393 Manipur 2021-01-26
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## 395 Mizoram 2021-01-26
## 396 Nagaland 2021-01-26
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## 398 Puducherry 2021-01-26
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## 400 Rajasthan 2021-01-26
## 401 Sikkim 2021-01-26
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## 403 Telangana 2021-01-26
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## 407 West Bengal 2021-01-26
## 408 Andaman and Nicobar Islands 2021-01-27
## 409 Andhra Pradesh 2021-01-27
## 410 Arunachal Pradesh 2021-01-27
## 411 Assam 2021-01-27
## 412 Bihar 2021-01-27
## 413 Chandigarh 2021-01-27
## 414 Chhattisgarh 2021-01-27
## 415 Dadra and Nagar Haveli and Daman and Diu 2021-01-27
## 416 Delhi 2021-01-27
## 417 Goa 2021-01-27
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## 1899 Haryana 2021-03-08
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## 1905 Kerala 2021-03-08
## 1906 Ladakh 2021-03-08
## 1907 Lakshadweep 2021-03-08
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## 1913 Nagaland 2021-03-08
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## 1917 Rajasthan 2021-03-08
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## 1927 Arunachal Pradesh 2021-03-09
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## 1936 Haryana 2021-03-09
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## 1944 Lakshadweep 2021-03-09
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## 1949 Mizoram 2021-03-09
## 1950 Nagaland 2021-03-09
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## 1954 Rajasthan 2021-03-09
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## 1968 Chhattisgarh 2021-03-10
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## 1977 Jharkhand 2021-03-10
## 1978 Karnataka 2021-03-10
## 1979 Kerala 2021-03-10
## 1980 Ladakh 2021-03-10
## 1981 Lakshadweep 2021-03-10
## 1982 Madhya Pradesh 2021-03-10
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## 1984 Manipur 2021-03-10
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## 1987 Nagaland 2021-03-10
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## 1989 Puducherry 2021-03-10
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## 1994 Telangana 2021-03-10
## 1995 Tripura 2021-03-10
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## 1998 West Bengal 2021-03-10
## 1999 Andaman and Nicobar Islands 2021-03-11
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## 4141 Tripura 2021-05-07
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## 4740 Assam 2021-05-24
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## 7809 Andhra Pradesh 2021-08-15
## 7810 Arunachal Pradesh 2021-08-15
## 7811 Assam 2021-08-15
## 7812 Bihar 2021-08-15
## 7813 Chandigarh 2021-08-15
## 7814 Chhattisgarh 2021-08-15
## 7815 Dadra and Nagar Haveli and Daman and Diu 2021-08-15
## 7816 Delhi 2021-08-15
## 7817 Goa 2021-08-15
## 7818 Gujarat 2021-08-15
## 7819 Haryana 2021-08-15
## 7820 Himachal Pradesh 2021-08-15
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## 7845 0aggregate(testing$TotalSamples ~ testing$State + testing$Date, FUN = mean)## testing$State testing$Date
## 1 Delhi 2020-04-01
## 2 Kerala 2020-04-01
## 3 West Bengal 2020-04-01
## 4 Andhra Pradesh 2020-04-02
## 5 Assam 2020-04-02
## 6 Chandigarh 2020-04-02
## 7 Chhattisgarh 2020-04-02
## 8 Goa 2020-04-02
## 9 Kerala 2020-04-02
## 10 Punjab 2020-04-02
## 11 Uttarakhand 2020-04-02
## 12 Haryana 2020-04-03
## 13 Karnataka 2020-04-03
## 14 Kerala 2020-04-03
## 15 Odisha 2020-04-03
## 16 Tamil Nadu 2020-04-03
## 17 Kerala 2020-04-04
## 18 West Bengal 2020-04-04
## 19 Bihar 2020-04-05
## 20 Jammu and Kashmir 2020-04-05
## 21 Kerala 2020-04-05
## 22 Madhya Pradesh 2020-04-05
## 23 Maharashtra 2020-04-05
## 24 Uttar Pradesh 2020-04-05
## 25 Kerala 2020-04-06
## 26 Maharashtra 2020-04-06
## 27 Mizoram 2020-04-06
## 28 Nagaland 2020-04-06
## 29 West Bengal 2020-04-06
## 30 Delhi 2020-04-07
## 31 Haryana 2020-04-07
## 32 Karnataka 2020-04-07
## 33 Kerala 2020-04-07
## 34 Madhya Pradesh 2020-04-07
## 35 Maharashtra 2020-04-07
## 36 Mizoram 2020-04-07
## 37 Odisha 2020-04-07
## 38 Rajasthan 2020-04-07
## 39 Uttarakhand 2020-04-07
## 40 West Bengal 2020-04-07
## 41 Bihar 2020-04-08
## 42 Chandigarh 2020-04-08
## 43 Gujarat 2020-04-08
## 44 Haryana 2020-04-08
## 45 Karnataka 2020-04-08
## 46 Kerala 2020-04-08
## 47 Madhya Pradesh 2020-04-08
## 48 Mizoram 2020-04-08
## 49 Odisha 2020-04-08
## 50 Punjab 2020-04-08
## 51 Rajasthan 2020-04-08
## 52 Tamil Nadu 2020-04-08
## 53 Arunachal Pradesh 2020-04-09
## 54 Bihar 2020-04-09
## 55 Dadra and Nagar Haveli and Daman and Diu 2020-04-09
## 56 Delhi 2020-04-09
## 57 Goa 2020-04-09
## 58 Haryana 2020-04-09
## 59 Karnataka 2020-04-09
## 60 Kerala 2020-04-09
## 61 Madhya Pradesh 2020-04-09
## 62 Maharashtra 2020-04-09
## 63 Mizoram 2020-04-09
## 64 Odisha 2020-04-09
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## 66 Rajasthan 2020-04-09
## 67 Tamil Nadu 2020-04-09
## 68 Uttar Pradesh 2020-04-09
## 69 Uttarakhand 2020-04-09
## 70 West Bengal 2020-04-09
## 71 Andhra Pradesh 2020-04-10
## 72 Assam 2020-04-10
## 73 Bihar 2020-04-10
## 74 Chandigarh 2020-04-10
## 75 Chhattisgarh 2020-04-10
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## 77 Delhi 2020-04-10
## 78 Goa 2020-04-10
## 79 Gujarat 2020-04-10
## 80 Haryana 2020-04-10
## 81 Himachal Pradesh 2020-04-10
## 82 Jammu and Kashmir 2020-04-10
## 83 Jharkhand 2020-04-10
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## 100 Chhattisgarh 2020-04-11
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## 103 Gujarat 2020-04-11
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## 105 Himachal Pradesh 2020-04-11
## 106 Jammu and Kashmir 2020-04-11
## 107 Jharkhand 2020-04-11
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## 130 Himachal Pradesh 2020-04-12
## 131 Jammu and Kashmir 2020-04-12
## 132 Jharkhand 2020-04-12
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## 156 Jharkhand 2020-04-13
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## 229 Chhattisgarh 2020-04-16
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## 252 Andaman and Nicobar Islands 2020-04-17
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## 263 Himachal Pradesh 2020-04-17
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## 265 Jharkhand 2020-04-17
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## 270 Manipur 2020-04-17
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## 291 Jammu and Kashmir 2020-04-18
## 292 Jharkhand 2020-04-18
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## 301 Puducherry 2020-04-18
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## 319 Jharkhand 2020-04-19
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## 331 Rajasthan 2020-04-19
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## 375 Haryana 2020-04-21
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## 398 Chandigarh 2020-04-22
## 399 Chhattisgarh 2020-04-22
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## 401 Delhi 2020-04-22
## 402 Goa 2020-04-22
## 403 Gujarat 2020-04-22
## 404 Haryana 2020-04-22
## 405 Himachal Pradesh 2020-04-22
## 406 Jammu and Kashmir 2020-04-22
## 407 Jharkhand 2020-04-22
## 408 Karnataka 2020-04-22
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## 413 Mizoram 2020-04-22
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## 416 Puducherry 2020-04-22
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## 418 Rajasthan 2020-04-22
## 419 Tamil Nadu 2020-04-22
## 420 Tripura 2020-04-22
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## 426 Chandigarh 2020-04-23
## 427 Chhattisgarh 2020-04-23
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## 429 Delhi 2020-04-23
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## 431 Gujarat 2020-04-23
## 432 Haryana 2020-04-23
## 433 Himachal Pradesh 2020-04-23
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## 435 Jharkhand 2020-04-23
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## 450 West Bengal 2020-04-23
## 451 Andaman and Nicobar Islands 2020-04-24
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## 510 Chhattisgarh 2020-04-26
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## 513 Gujarat 2020-04-26
## 514 Haryana 2020-04-26
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## 532 Andaman and Nicobar Islands 2020-04-27
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## 713 Chhattisgarh 2020-05-03
## 714 Dadra and Nagar Haveli and Daman and Diu 2020-05-03
## 715 Delhi 2020-05-03
## 716 Goa 2020-05-03
## 717 Gujarat 2020-05-03
## 718 Haryana 2020-05-03
## 719 Himachal Pradesh 2020-05-03
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## 1337 Gujarat 2020-05-23
## 1338 Haryana 2020-05-23
## 1339 Himachal Pradesh 2020-05-23
## 1340 Jammu and Kashmir 2020-05-23
## 1341 Jharkhand 2020-05-23
## 1342 Karnataka 2020-05-23
## 1343 Kerala 2020-05-23
## 1344 Ladakh 2020-05-23
## 1345 Madhya Pradesh 2020-05-23
## 1346 Maharashtra 2020-05-23
## 1347 Manipur 2020-05-23
## 1348 Mizoram 2020-05-23
## 1349 Nagaland 2020-05-23
## 1350 Odisha 2020-05-23
## 1351 Puducherry 2020-05-23
## 1352 Punjab 2020-05-23
## 1353 Rajasthan 2020-05-23
## 1354 Sikkim 2020-05-23
## 1355 Tamil Nadu 2020-05-23
## 1356 Tripura 2020-05-23
## 1357 Uttar Pradesh 2020-05-23
## 1358 Uttarakhand 2020-05-23
## 1359 West Bengal 2020-05-23
## 1360 Andaman and Nicobar Islands 2020-05-24
## 1361 Andhra Pradesh 2020-05-24
## 1362 Arunachal Pradesh 2020-05-24
## 1363 Assam 2020-05-24
## 1364 Bihar 2020-05-24
## 1365 Chandigarh 2020-05-24
## 1366 Dadra and Nagar Haveli and Daman and Diu 2020-05-24
## 1367 Delhi 2020-05-24
## 1368 Goa 2020-05-24
## 1369 Gujarat 2020-05-24
## 1370 Haryana 2020-05-24
## 1371 Himachal Pradesh 2020-05-24
## 1372 Jammu and Kashmir 2020-05-24
## 1373 Jharkhand 2020-05-24
## 1374 Karnataka 2020-05-24
## 1375 Kerala 2020-05-24
## 1376 Ladakh 2020-05-24
## 1377 Madhya Pradesh 2020-05-24
## 1378 Maharashtra 2020-05-24
## 1379 Mizoram 2020-05-24
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## 1384 Rajasthan 2020-05-24
## 1385 Sikkim 2020-05-24
## 1386 Tamil Nadu 2020-05-24
## 1387 Tripura 2020-05-24
## 1388 Uttar Pradesh 2020-05-24
## 1389 Uttarakhand 2020-05-24
## 1390 West Bengal 2020-05-24
## 1391 Andaman and Nicobar Islands 2020-05-25
## 1392 Andhra Pradesh 2020-05-25
## 1393 Arunachal Pradesh 2020-05-25
## 1394 Assam 2020-05-25
## 1395 Chandigarh 2020-05-25
## 1396 Chhattisgarh 2020-05-25
## 1397 Dadra and Nagar Haveli and Daman and Diu 2020-05-25
## 1398 Delhi 2020-05-25
## 1399 Goa 2020-05-25
## 1400 Gujarat 2020-05-25
## 1401 Haryana 2020-05-25
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## 1403 Jammu and Kashmir 2020-05-25
## 1404 Jharkhand 2020-05-25
## 1405 Karnataka 2020-05-25
## 1406 Kerala 2020-05-25
## 1407 Ladakh 2020-05-25
## 1408 Madhya Pradesh 2020-05-25
## 1409 Maharashtra 2020-05-25
## 1410 Manipur 2020-05-25
## 1411 Mizoram 2020-05-25
## 1412 Nagaland 2020-05-25
## 1413 Odisha 2020-05-25
## 1414 Puducherry 2020-05-25
## 1415 Punjab 2020-05-25
## 1416 Rajasthan 2020-05-25
## 1417 Sikkim 2020-05-25
## 1418 Tamil Nadu 2020-05-25
## 1419 Tripura 2020-05-25
## 1420 Uttar Pradesh 2020-05-25
## 1421 Uttarakhand 2020-05-25
## 1422 West Bengal 2020-05-25
## 1423 Andaman and Nicobar Islands 2020-05-26
## 1424 Andhra Pradesh 2020-05-26
## 1425 Arunachal Pradesh 2020-05-26
## 1426 Assam 2020-05-26
## 1427 Chandigarh 2020-05-26
## 1428 Chhattisgarh 2020-05-26
## 1429 Dadra and Nagar Haveli and Daman and Diu 2020-05-26
## 1430 Delhi 2020-05-26
## 1431 Goa 2020-05-26
## 1432 Gujarat 2020-05-26
## 1433 Haryana 2020-05-26
## 1434 Himachal Pradesh 2020-05-26
## 1435 Jammu and Kashmir 2020-05-26
## 1436 Jharkhand 2020-05-26
## 1437 Karnataka 2020-05-26
## 1438 Kerala 2020-05-26
## 1439 Madhya Pradesh 2020-05-26
## 1440 Maharashtra 2020-05-26
## 1441 Manipur 2020-05-26
## 1442 Meghalaya 2020-05-26
## 1443 Mizoram 2020-05-26
## 1444 Nagaland 2020-05-26
## 1445 Odisha 2020-05-26
## 1446 Puducherry 2020-05-26
## 1447 Punjab 2020-05-26
## 1448 Rajasthan 2020-05-26
## 1449 Sikkim 2020-05-26
## 1450 Tamil Nadu 2020-05-26
## 1451 Tripura 2020-05-26
## 1452 Uttar Pradesh 2020-05-26
## 1453 Uttarakhand 2020-05-26
## 1454 West Bengal 2020-05-26
## 1455 Andaman and Nicobar Islands 2020-05-27
## 1456 Andhra Pradesh 2020-05-27
## 1457 Arunachal Pradesh 2020-05-27
## 1458 Bihar 2020-05-27
## 1459 Chandigarh 2020-05-27
## 1460 Chhattisgarh 2020-05-27
## 1461 Dadra and Nagar Haveli and Daman and Diu 2020-05-27
## 1462 Delhi 2020-05-27
## 1463 Goa 2020-05-27
## 1464 Gujarat 2020-05-27
## 1465 Haryana 2020-05-27
## 1466 Himachal Pradesh 2020-05-27
## 1467 Jammu and Kashmir 2020-05-27
## 1468 Jharkhand 2020-05-27
## 1469 Karnataka 2020-05-27
## 1470 Kerala 2020-05-27
## 1471 Madhya Pradesh 2020-05-27
## 1472 Maharashtra 2020-05-27
## 1473 Manipur 2020-05-27
## 1474 Meghalaya 2020-05-27
## 1475 Nagaland 2020-05-27
## 1476 Odisha 2020-05-27
## 1477 Puducherry 2020-05-27
## 1478 Punjab 2020-05-27
## 1479 Rajasthan 2020-05-27
## 1480 Sikkim 2020-05-27
## 1481 Tamil Nadu 2020-05-27
## 1482 Tripura 2020-05-27
## 1483 Uttar Pradesh 2020-05-27
## 1484 Uttarakhand 2020-05-27
## 1485 West Bengal 2020-05-27
## 1486 Andaman and Nicobar Islands 2020-05-28
## 1487 Andhra Pradesh 2020-05-28
## 1488 Arunachal Pradesh 2020-05-28
## 1489 Bihar 2020-05-28
## 1490 Chandigarh 2020-05-28
## 1491 Chhattisgarh 2020-05-28
## 1492 Dadra and Nagar Haveli and Daman and Diu 2020-05-28
## 1493 Delhi 2020-05-28
## 1494 Goa 2020-05-28
## 1495 Gujarat 2020-05-28
## 1496 Haryana 2020-05-28
## 1497 Himachal Pradesh 2020-05-28
## 1498 Jammu and Kashmir 2020-05-28
## 1499 Jharkhand 2020-05-28
## 1500 Karnataka 2020-05-28
## 1501 Kerala 2020-05-28
## 1502 Madhya Pradesh 2020-05-28
## 1503 Maharashtra 2020-05-28
## 1504 Manipur 2020-05-28
## 1505 Mizoram 2020-05-28
## 1506 Nagaland 2020-05-28
## 1507 Odisha 2020-05-28
## 1508 Puducherry 2020-05-28
## 1509 Punjab 2020-05-28
## 1510 Rajasthan 2020-05-28
## 1511 Sikkim 2020-05-28
## 1512 Tamil Nadu 2020-05-28
## 1513 Tripura 2020-05-28
## 1514 Uttar Pradesh 2020-05-28
## 1515 Uttarakhand 2020-05-28
## 1516 West Bengal 2020-05-28
## 1517 Andaman and Nicobar Islands 2020-05-29
## 1518 Andhra Pradesh 2020-05-29
## 1519 Arunachal Pradesh 2020-05-29
## 1520 Assam 2020-05-29
## 1521 Bihar 2020-05-29
## 1522 Chandigarh 2020-05-29
## 1523 Chhattisgarh 2020-05-29
## 1524 Dadra and Nagar Haveli and Daman and Diu 2020-05-29
## 1525 Delhi 2020-05-29
## 1526 Goa 2020-05-29
## 1527 Gujarat 2020-05-29
## 1528 Haryana 2020-05-29
## 1529 Himachal Pradesh 2020-05-29
## 1530 Jammu and Kashmir 2020-05-29
## 1531 Jharkhand 2020-05-29
## 1532 Karnataka 2020-05-29
## 1533 Kerala 2020-05-29
## 1534 Madhya Pradesh 2020-05-29
## 1535 Maharashtra 2020-05-29
## 1536 Manipur 2020-05-29
## 1537 Mizoram 2020-05-29
## 1538 Nagaland 2020-05-29
## 1539 Odisha 2020-05-29
## 1540 Puducherry 2020-05-29
## 1541 Punjab 2020-05-29
## 1542 Rajasthan 2020-05-29
## 1543 Sikkim 2020-05-29
## 1544 Tamil Nadu 2020-05-29
## 1545 Tripura 2020-05-29
## 1546 Uttar Pradesh 2020-05-29
## 1547 Uttarakhand 2020-05-29
## 1548 West Bengal 2020-05-29
## 1549 Andaman and Nicobar Islands 2020-05-30
## 1550 Andhra Pradesh 2020-05-30
## 1551 Arunachal Pradesh 2020-05-30
## 1552 Assam 2020-05-30
## 1553 Bihar 2020-05-30
## 1554 Chandigarh 2020-05-30
## 1555 Chhattisgarh 2020-05-30
## 1556 Delhi 2020-05-30
## 1557 Goa 2020-05-30
## 1558 Gujarat 2020-05-30
## 1559 Haryana 2020-05-30
## 1560 Himachal Pradesh 2020-05-30
## 1561 Jammu and Kashmir 2020-05-30
## 1562 Jharkhand 2020-05-30
## 1563 Karnataka 2020-05-30
## 1564 Kerala 2020-05-30
## 1565 Ladakh 2020-05-30
## 1566 Madhya Pradesh 2020-05-30
## 1567 Maharashtra 2020-05-30
## 1568 Mizoram 2020-05-30
## 1569 Nagaland 2020-05-30
## 1570 Odisha 2020-05-30
## 1571 Puducherry 2020-05-30
## 1572 Punjab 2020-05-30
## 1573 Rajasthan 2020-05-30
## 1574 Sikkim 2020-05-30
## 1575 Tamil Nadu 2020-05-30
## 1576 Tripura 2020-05-30
## 1577 Uttar Pradesh 2020-05-30
## 1578 Uttarakhand 2020-05-30
## 1579 West Bengal 2020-05-30
## 1580 Andaman and Nicobar Islands 2020-05-31
## 1581 Andhra Pradesh 2020-05-31
## 1582 Arunachal Pradesh 2020-05-31
## 1583 Assam 2020-05-31
## 1584 Bihar 2020-05-31
## 1585 Chandigarh 2020-05-31
## 1586 Chhattisgarh 2020-05-31
## 1587 Delhi 2020-05-31
## 1588 Goa 2020-05-31
## 1589 Gujarat 2020-05-31
## 1590 Haryana 2020-05-31
## 1591 Himachal Pradesh 2020-05-31
## 1592 Jammu and Kashmir 2020-05-31
## 1593 Jharkhand 2020-05-31
## 1594 Karnataka 2020-05-31
## 1595 Kerala 2020-05-31
## 1596 Ladakh 2020-05-31
## 1597 Madhya Pradesh 2020-05-31
## 1598 Maharashtra 2020-05-31
## 1599 Meghalaya 2020-05-31
## 1600 Mizoram 2020-05-31
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## 1602 Odisha 2020-05-31
## 1603 Puducherry 2020-05-31
## 1604 Punjab 2020-05-31
## 1605 Rajasthan 2020-05-31
## 1606 Sikkim 2020-05-31
## 1607 Tamil Nadu 2020-05-31
## 1608 Tripura 2020-05-31
## 1609 Uttar Pradesh 2020-05-31
## 1610 Uttarakhand 2020-05-31
## 1611 West Bengal 2020-05-31
## 1612 Andaman and Nicobar Islands 2020-06-01
## 1613 Andhra Pradesh 2020-06-01
## 1614 Arunachal Pradesh 2020-06-01
## 1615 Bihar 2020-06-01
## 1616 Chandigarh 2020-06-01
## 1617 Chhattisgarh 2020-06-01
## 1618 Dadra and Nagar Haveli and Daman and Diu 2020-06-01
## 1619 Delhi 2020-06-01
## 1620 Goa 2020-06-01
## 1621 Gujarat 2020-06-01
## 1622 Haryana 2020-06-01
## 1623 Himachal Pradesh 2020-06-01
## 1624 Jammu and Kashmir 2020-06-01
## 1625 Jharkhand 2020-06-01
## 1626 Karnataka 2020-06-01
## 1627 Kerala 2020-06-01
## 1628 Madhya Pradesh 2020-06-01
## 1629 Maharashtra 2020-06-01
## 1630 Meghalaya 2020-06-01
## 1631 Mizoram 2020-06-01
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## 1633 Odisha 2020-06-01
## 1634 Puducherry 2020-06-01
## 1635 Punjab 2020-06-01
## 1636 Rajasthan 2020-06-01
## 1637 Sikkim 2020-06-01
## 1638 Tamil Nadu 2020-06-01
## 1639 Tripura 2020-06-01
## 1640 Uttar Pradesh 2020-06-01
## 1641 Uttarakhand 2020-06-01
## 1642 West Bengal 2020-06-01
## 1643 Andaman and Nicobar Islands 2020-06-02
## 1644 Andhra Pradesh 2020-06-02
## 1645 Arunachal Pradesh 2020-06-02
## 1646 Assam 2020-06-02
## 1647 Bihar 2020-06-02
## 1648 Chandigarh 2020-06-02
## 1649 Chhattisgarh 2020-06-02
## 1650 Delhi 2020-06-02
## 1651 Goa 2020-06-02
## 1652 Gujarat 2020-06-02
## 1653 Haryana 2020-06-02
## 1654 Himachal Pradesh 2020-06-02
## 1655 Jammu and Kashmir 2020-06-02
## 1656 Jharkhand 2020-06-02
## 1657 Karnataka 2020-06-02
## 1658 Kerala 2020-06-02
## 1659 Ladakh 2020-06-02
## 1660 Madhya Pradesh 2020-06-02
## 1661 Maharashtra 2020-06-02
## 1662 Meghalaya 2020-06-02
## 1663 Mizoram 2020-06-02
## 1664 Nagaland 2020-06-02
## 1665 Odisha 2020-06-02
## 1666 Puducherry 2020-06-02
## 1667 Punjab 2020-06-02
## 1668 Rajasthan 2020-06-02
## 1669 Sikkim 2020-06-02
## 1670 Tamil Nadu 2020-06-02
## 1671 Tripura 2020-06-02
## 1672 Uttar Pradesh 2020-06-02
## 1673 Uttarakhand 2020-06-02
## 1674 West Bengal 2020-06-02
## 1675 Andaman and Nicobar Islands 2020-06-03
## 1676 Andhra Pradesh 2020-06-03
## 1677 Arunachal Pradesh 2020-06-03
## 1678 Assam 2020-06-03
## 1679 Bihar 2020-06-03
## 1680 Chandigarh 2020-06-03
## 1681 Chhattisgarh 2020-06-03
## 1682 Dadra and Nagar Haveli and Daman and Diu 2020-06-03
## 1683 Delhi 2020-06-03
## 1684 Goa 2020-06-03
## 1685 Gujarat 2020-06-03
## 1686 Haryana 2020-06-03
## 1687 Himachal Pradesh 2020-06-03
## 1688 Jammu and Kashmir 2020-06-03
## 1689 Jharkhand 2020-06-03
## 1690 Karnataka 2020-06-03
## 1691 Kerala 2020-06-03
## 1692 Madhya Pradesh 2020-06-03
## 1693 Maharashtra 2020-06-03
## 1694 Manipur 2020-06-03
## 1695 Meghalaya 2020-06-03
## 1696 Mizoram 2020-06-03
## 1697 Nagaland 2020-06-03
## 1698 Odisha 2020-06-03
## 1699 Puducherry 2020-06-03
## 1700 Punjab 2020-06-03
## 1701 Rajasthan 2020-06-03
## 1702 Sikkim 2020-06-03
## 1703 Tamil Nadu 2020-06-03
## 1704 Tripura 2020-06-03
## 1705 Uttar Pradesh 2020-06-03
## 1706 Uttarakhand 2020-06-03
## 1707 West Bengal 2020-06-03
## 1708 Andaman and Nicobar Islands 2020-06-04
## 1709 Andhra Pradesh 2020-06-04
## 1710 Arunachal Pradesh 2020-06-04
## 1711 Assam 2020-06-04
## 1712 Bihar 2020-06-04
## 1713 Chandigarh 2020-06-04
## 1714 Chhattisgarh 2020-06-04
## 1715 Dadra and Nagar Haveli and Daman and Diu 2020-06-04
## 1716 Delhi 2020-06-04
## 1717 Goa 2020-06-04
## 1718 Gujarat 2020-06-04
## 1719 Haryana 2020-06-04
## 1720 Himachal Pradesh 2020-06-04
## 1721 Jammu and Kashmir 2020-06-04
## 1722 Jharkhand 2020-06-04
## 1723 Karnataka 2020-06-04
## 1724 Kerala 2020-06-04
## 1725 Madhya Pradesh 2020-06-04
## 1726 Maharashtra 2020-06-04
## 1727 Meghalaya 2020-06-04
## 1728 Mizoram 2020-06-04
## 1729 Nagaland 2020-06-04
## 1730 Odisha 2020-06-04
## 1731 Puducherry 2020-06-04
## 1732 Punjab 2020-06-04
## 1733 Rajasthan 2020-06-04
## 1734 Sikkim 2020-06-04
## 1735 Tamil Nadu 2020-06-04
## 1736 Tripura 2020-06-04
## 1737 Uttar Pradesh 2020-06-04
## 1738 Uttarakhand 2020-06-04
## 1739 West Bengal 2020-06-04
## 1740 Andaman and Nicobar Islands 2020-06-05
## 1741 Andhra Pradesh 2020-06-05
## 1742 Arunachal Pradesh 2020-06-05
## 1743 Bihar 2020-06-05
## 1744 Chandigarh 2020-06-05
## 1745 Chhattisgarh 2020-06-05
## 1746 Dadra and Nagar Haveli and Daman and Diu 2020-06-05
## 1747 Delhi 2020-06-05
## 1748 Goa 2020-06-05
## 1749 Gujarat 2020-06-05
## 1750 Haryana 2020-06-05
## 1751 Himachal Pradesh 2020-06-05
## 1752 Jammu and Kashmir 2020-06-05
## 1753 Jharkhand 2020-06-05
## 1754 Karnataka 2020-06-05
## 1755 Kerala 2020-06-05
## 1756 Ladakh 2020-06-05
## 1757 Madhya Pradesh 2020-06-05
## 1758 Maharashtra 2020-06-05
## 1759 Manipur 2020-06-05
## 1760 Meghalaya 2020-06-05
## 1761 Mizoram 2020-06-05
## 1762 Nagaland 2020-06-05
## 1763 Odisha 2020-06-05
## 1764 Puducherry 2020-06-05
## 1765 Punjab 2020-06-05
## 1766 Rajasthan 2020-06-05
## 1767 Sikkim 2020-06-05
## 1768 Tamil Nadu 2020-06-05
## 1769 Tripura 2020-06-05
## 1770 Uttar Pradesh 2020-06-05
## 1771 Uttarakhand 2020-06-05
## 1772 West Bengal 2020-06-05
## 1773 Andaman and Nicobar Islands 2020-06-06
## 1774 Andhra Pradesh 2020-06-06
## 1775 Arunachal Pradesh 2020-06-06
## 1776 Assam 2020-06-06
## 1777 Bihar 2020-06-06
## 1778 Chandigarh 2020-06-06
## 1779 Chhattisgarh 2020-06-06
## 1780 Dadra and Nagar Haveli and Daman and Diu 2020-06-06
## 1781 Delhi 2020-06-06
## 1782 Goa 2020-06-06
## 1783 Gujarat 2020-06-06
## 1784 Haryana 2020-06-06
## 1785 Himachal Pradesh 2020-06-06
## 1786 Jammu and Kashmir 2020-06-06
## 1787 Jharkhand 2020-06-06
## 1788 Karnataka 2020-06-06
## 1789 Kerala 2020-06-06
## 1790 Ladakh 2020-06-06
## 1791 Madhya Pradesh 2020-06-06
## 1792 Maharashtra 2020-06-06
## 1793 Meghalaya 2020-06-06
## 1794 Mizoram 2020-06-06
## 1795 Nagaland 2020-06-06
## 1796 Odisha 2020-06-06
## 1797 Puducherry 2020-06-06
## 1798 Punjab 2020-06-06
## 1799 Rajasthan 2020-06-06
## 1800 Sikkim 2020-06-06
## 1801 Tamil Nadu 2020-06-06
## 1802 Tripura 2020-06-06
## 1803 Uttar Pradesh 2020-06-06
## 1804 Uttarakhand 2020-06-06
## 1805 West Bengal 2020-06-06
## 1806 Andaman and Nicobar Islands 2020-06-07
## 1807 Andhra Pradesh 2020-06-07
## 1808 Arunachal Pradesh 2020-06-07
## 1809 Assam 2020-06-07
## 1810 Bihar 2020-06-07
## 1811 Chandigarh 2020-06-07
## 1812 Chhattisgarh 2020-06-07
## 1813 Dadra and Nagar Haveli and Daman and Diu 2020-06-07
## 1814 Delhi 2020-06-07
## 1815 Goa 2020-06-07
## 1816 Gujarat 2020-06-07
## 1817 Haryana 2020-06-07
## 1818 Himachal Pradesh 2020-06-07
## 1819 Jammu and Kashmir 2020-06-07
## 1820 Jharkhand 2020-06-07
## 1821 Karnataka 2020-06-07
## 1822 Kerala 2020-06-07
## 1823 Madhya Pradesh 2020-06-07
## 1824 Maharashtra 2020-06-07
## 1825 Manipur 2020-06-07
## 1826 Meghalaya 2020-06-07
## 1827 Mizoram 2020-06-07
## 1828 Nagaland 2020-06-07
## 1829 Odisha 2020-06-07
## 1830 Puducherry 2020-06-07
## 1831 Punjab 2020-06-07
## 1832 Rajasthan 2020-06-07
## 1833 Tamil Nadu 2020-06-07
## 1834 Tripura 2020-06-07
## 1835 Uttar Pradesh 2020-06-07
## 1836 Uttarakhand 2020-06-07
## 1837 West Bengal 2020-06-07
## 1838 Andaman and Nicobar Islands 2020-06-08
## 1839 Andhra Pradesh 2020-06-08
## 1840 Arunachal Pradesh 2020-06-08
## 1841 Bihar 2020-06-08
## 1842 Chandigarh 2020-06-08
## 1843 Chhattisgarh 2020-06-08
## 1844 Dadra and Nagar Haveli and Daman and Diu 2020-06-08
## 1845 Delhi 2020-06-08
## 1846 Goa 2020-06-08
## 1847 Gujarat 2020-06-08
## 1848 Haryana 2020-06-08
## 1849 Himachal Pradesh 2020-06-08
## 1850 Jammu and Kashmir 2020-06-08
## 1851 Jharkhand 2020-06-08
## 1852 Karnataka 2020-06-08
## 1853 Kerala 2020-06-08
## 1854 Madhya Pradesh 2020-06-08
## 1855 Maharashtra 2020-06-08
## 1856 Meghalaya 2020-06-08
## 1857 Mizoram 2020-06-08
## 1858 Nagaland 2020-06-08
## 1859 Odisha 2020-06-08
## 1860 Puducherry 2020-06-08
## 1861 Punjab 2020-06-08
## 1862 Rajasthan 2020-06-08
## 1863 Sikkim 2020-06-08
## 1864 Tamil Nadu 2020-06-08
## 1865 Tripura 2020-06-08
## 1866 Uttar Pradesh 2020-06-08
## 1867 Uttarakhand 2020-06-08
## 1868 West Bengal 2020-06-08
## 1869 Andaman and Nicobar Islands 2020-06-09
## 1870 Andhra Pradesh 2020-06-09
## 1871 Arunachal Pradesh 2020-06-09
## 1872 Assam 2020-06-09
## 1873 Bihar 2020-06-09
## 1874 Chhattisgarh 2020-06-09
## 1875 Delhi 2020-06-09
## 1876 Goa 2020-06-09
## 1877 Gujarat 2020-06-09
## 1878 Haryana 2020-06-09
## 1879 Himachal Pradesh 2020-06-09
## 1880 Jammu and Kashmir 2020-06-09
## 1881 Jharkhand 2020-06-09
## 1882 Karnataka 2020-06-09
## 1883 Kerala 2020-06-09
## 1884 Ladakh 2020-06-09
## 1885 Madhya Pradesh 2020-06-09
## 1886 Maharashtra 2020-06-09
## 1887 Manipur 2020-06-09
## 1888 Meghalaya 2020-06-09
## 1889 Mizoram 2020-06-09
## 1890 Nagaland 2020-06-09
## 1891 Odisha 2020-06-09
## 1892 Puducherry 2020-06-09
## 1893 Punjab 2020-06-09
## 1894 Rajasthan 2020-06-09
## 1895 Sikkim 2020-06-09
## 1896 Tamil Nadu 2020-06-09
## 1897 Tripura 2020-06-09
## 1898 Uttar Pradesh 2020-06-09
## 1899 Uttarakhand 2020-06-09
## 1900 West Bengal 2020-06-09
## 1901 Andaman and Nicobar Islands 2020-06-10
## 1902 Andhra Pradesh 2020-06-10
## 1903 Arunachal Pradesh 2020-06-10
## 1904 Bihar 2020-06-10
## 1905 Chandigarh 2020-06-10
## 1906 Chhattisgarh 2020-06-10
## 1907 Dadra and Nagar Haveli and Daman and Diu 2020-06-10
## 1908 Delhi 2020-06-10
## 1909 Goa 2020-06-10
## 1910 Gujarat 2020-06-10
## 1911 Haryana 2020-06-10
## 1912 Himachal Pradesh 2020-06-10
## 1913 Jammu and Kashmir 2020-06-10
## 1914 Jharkhand 2020-06-10
## 1915 Karnataka 2020-06-10
## 1916 Kerala 2020-06-10
## 1917 Madhya Pradesh 2020-06-10
## 1918 Maharashtra 2020-06-10
## 1919 Manipur 2020-06-10
## 1920 Meghalaya 2020-06-10
## 1921 Mizoram 2020-06-10
## 1922 Nagaland 2020-06-10
## 1923 Odisha 2020-06-10
## 1924 Puducherry 2020-06-10
## 1925 Punjab 2020-06-10
## 1926 Rajasthan 2020-06-10
## 1927 Sikkim 2020-06-10
## 1928 Tamil Nadu 2020-06-10
## 1929 Tripura 2020-06-10
## 1930 Uttar Pradesh 2020-06-10
## 1931 Uttarakhand 2020-06-10
## 1932 West Bengal 2020-06-10
## 1933 Andaman and Nicobar Islands 2020-06-11
## 1934 Andhra Pradesh 2020-06-11
## 1935 Arunachal Pradesh 2020-06-11
## 1936 Assam 2020-06-11
## 1937 Bihar 2020-06-11
## 1938 Chandigarh 2020-06-11
## 1939 Chhattisgarh 2020-06-11
## 1940 Delhi 2020-06-11
## 1941 Goa 2020-06-11
## 1942 Gujarat 2020-06-11
## 1943 Haryana 2020-06-11
## 1944 Himachal Pradesh 2020-06-11
## 1945 Jammu and Kashmir 2020-06-11
## 1946 Jharkhand 2020-06-11
## 1947 Karnataka 2020-06-11
## 1948 Kerala 2020-06-11
## 1949 Ladakh 2020-06-11
## 1950 Madhya Pradesh 2020-06-11
## 1951 Maharashtra 2020-06-11
## 1952 Manipur 2020-06-11
## 1953 Meghalaya 2020-06-11
## 1954 Mizoram 2020-06-11
## 1955 Nagaland 2020-06-11
## 1956 Odisha 2020-06-11
## 1957 Puducherry 2020-06-11
## 1958 Punjab 2020-06-11
## 1959 Rajasthan 2020-06-11
## 1960 Sikkim 2020-06-11
## 1961 Tamil Nadu 2020-06-11
## 1962 Tripura 2020-06-11
## 1963 Uttar Pradesh 2020-06-11
## 1964 Uttarakhand 2020-06-11
## 1965 West Bengal 2020-06-11
## 1966 Andaman and Nicobar Islands 2020-06-12
## 1967 Andhra Pradesh 2020-06-12
## 1968 Arunachal Pradesh 2020-06-12
## 1969 Assam 2020-06-12
## 1970 Bihar 2020-06-12
## 1971 Chandigarh 2020-06-12
## 1972 Chhattisgarh 2020-06-12
## 1973 Delhi 2020-06-12
## 1974 Goa 2020-06-12
## 1975 Gujarat 2020-06-12
## 1976 Haryana 2020-06-12
## 1977 Himachal Pradesh 2020-06-12
## 1978 Jammu and Kashmir 2020-06-12
## 1979 Jharkhand 2020-06-12
## 1980 Karnataka 2020-06-12
## 1981 Kerala 2020-06-12
## 1982 Ladakh 2020-06-12
## 1983 Madhya Pradesh 2020-06-12
## 1984 Maharashtra 2020-06-12
## 1985 Meghalaya 2020-06-12
## 1986 Nagaland 2020-06-12
## 1987 Odisha 2020-06-12
## 1988 Puducherry 2020-06-12
## 1989 Punjab 2020-06-12
## 1990 Rajasthan 2020-06-12
## 1991 Sikkim 2020-06-12
## 1992 Tamil Nadu 2020-06-12
## 1993 Tripura 2020-06-12
## 1994 Uttar Pradesh 2020-06-12
## 1995 Uttarakhand 2020-06-12
## 1996 West Bengal 2020-06-12
## 1997 Andaman and Nicobar Islands 2020-06-13
## 1998 Andhra Pradesh 2020-06-13
## 1999 Arunachal Pradesh 2020-06-13
## 2000 Bihar 2020-06-13
## 2001 Chandigarh 2020-06-13
## 2002 Chhattisgarh 2020-06-13
## 2003 Dadra and Nagar Haveli and Daman and Diu 2020-06-13
## 2004 Delhi 2020-06-13
## 2005 Goa 2020-06-13
## 2006 Gujarat 2020-06-13
## 2007 Haryana 2020-06-13
## 2008 Himachal Pradesh 2020-06-13
## 2009 Jammu and Kashmir 2020-06-13
## 2010 Jharkhand 2020-06-13
## 2011 Karnataka 2020-06-13
## 2012 Kerala 2020-06-13
## 2013 Ladakh 2020-06-13
## 2014 Madhya Pradesh 2020-06-13
## 2015 Maharashtra 2020-06-13
## 2016 Manipur 2020-06-13
## 2017 Meghalaya 2020-06-13
## 2018 Mizoram 2020-06-13
## 2019 Nagaland 2020-06-13
## 2020 Odisha 2020-06-13
## 2021 Puducherry 2020-06-13
## 2022 Punjab 2020-06-13
## 2023 Rajasthan 2020-06-13
## 2024 Sikkim 2020-06-13
## 2025 Tamil Nadu 2020-06-13
## 2026 Tripura 2020-06-13
## 2027 Uttar Pradesh 2020-06-13
## 2028 Uttarakhand 2020-06-13
## 2029 West Bengal 2020-06-13
## 2030 Andaman and Nicobar Islands 2020-06-14
## 2031 Andhra Pradesh 2020-06-14
## 2032 Bihar 2020-06-14
## 2033 Chandigarh 2020-06-14
## 2034 Chhattisgarh 2020-06-14
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## 2063 Arunachal Pradesh 2020-06-15
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## 2095 Andaman and Nicobar Islands 2020-06-16
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## 2129 Andaman and Nicobar Islands 2020-06-17
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## 2196 Andaman and Nicobar Islands 2020-06-19
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## 2198 Arunachal Pradesh 2020-06-19
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## 2230 Andaman and Nicobar Islands 2020-06-20
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## 2264 Andaman and Nicobar Islands 2020-06-21
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## 2266 Arunachal Pradesh 2020-06-21
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## 2268 Bihar 2020-06-21
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## 2270 Chhattisgarh 2020-06-21
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## 2273 Goa 2020-06-21
## 2274 Gujarat 2020-06-21
## 2275 Haryana 2020-06-21
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## 2281 Ladakh 2020-06-21
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## 2293 Telangana 2020-06-21
## 2294 Tripura 2020-06-21
## 2295 Uttar Pradesh 2020-06-21
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## 2298 Andaman and Nicobar Islands 2020-06-22
## 2299 Andhra Pradesh 2020-06-22
## 2300 Arunachal Pradesh 2020-06-22
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## 2302 Bihar 2020-06-22
## 2303 Chandigarh 2020-06-22
## 2304 Chhattisgarh 2020-06-22
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## 2307 Goa 2020-06-22
## 2308 Gujarat 2020-06-22
## 2309 Haryana 2020-06-22
## 2310 Himachal Pradesh 2020-06-22
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## 2312 Jharkhand 2020-06-22
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## 2315 Ladakh 2020-06-22
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## 2329 Tripura 2020-06-22
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## 2331 Uttarakhand 2020-06-22
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## 2333 Andaman and Nicobar Islands 2020-06-23
## 2334 Andhra Pradesh 2020-06-23
## 2335 Arunachal Pradesh 2020-06-23
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## 2337 Bihar 2020-06-23
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## 2339 Chhattisgarh 2020-06-23
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## 2368 Andaman and Nicobar Islands 2020-06-24
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## 2377 Goa 2020-06-24
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## 2379 Haryana 2020-06-24
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## 2399 Tripura 2020-06-24
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## 2403 Andaman and Nicobar Islands 2020-06-25
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## 2412 Goa 2020-06-25
## 2413 Gujarat 2020-06-25
## 2414 Haryana 2020-06-25
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## 2540 Andaman and Nicobar Islands 2020-06-29
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## 2575 Andaman and Nicobar Islands 2020-06-30
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## 2577 Arunachal Pradesh 2020-06-30
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## 4434 Tripura 2020-08-22
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## 4849 Uttarakhand 2020-09-03
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## 5023 Andaman and Nicobar Islands 2020-09-09
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## 5027 Bihar 2020-09-09
## 5028 Chandigarh 2020-09-09
## 5029 Chhattisgarh 2020-09-09
## 5030 Dadra and Nagar Haveli and Daman and Diu 2020-09-09
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## 5032 Goa 2020-09-09
## 5033 Gujarat 2020-09-09
## 5034 Haryana 2020-09-09
## 5035 Himachal Pradesh 2020-09-09
## 5036 Jammu and Kashmir 2020-09-09
## 5037 Jharkhand 2020-09-09
## 5038 Karnataka 2020-09-09
## 5039 Kerala 2020-09-09
## 5040 Ladakh 2020-09-09
## 5041 Madhya Pradesh 2020-09-09
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## 5050 Sikkim 2020-09-09
## 5051 Tamil Nadu 2020-09-09
## 5052 Telangana 2020-09-09
## 5053 Tripura 2020-09-09
## 5054 Uttar Pradesh 2020-09-09
## 5055 Uttarakhand 2020-09-09
## 5056 West Bengal 2020-09-09
## 5057 Andaman and Nicobar Islands 2020-09-10
## 5058 Andhra Pradesh 2020-09-10
## 5059 Arunachal Pradesh 2020-09-10
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## 5061 Bihar 2020-09-10
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## 5074 Ladakh 2020-09-10
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## 5088 Tripura 2020-09-10
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## 5090 Uttarakhand 2020-09-10
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## 5092 Andaman and Nicobar Islands 2020-09-11
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## 5094 Arunachal Pradesh 2020-09-11
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## 5096 Bihar 2020-09-11
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## 5213 Ladakh 2020-09-14
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## 5266 Andaman and Nicobar Islands 2020-09-16
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## 5398 Tripura 2020-09-19
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## 5402 Andaman and Nicobar Islands 2020-09-20
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## 5435 Andaman and Nicobar Islands 2020-09-21
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## 5437 Arunachal Pradesh 2020-09-21
## 5438 Assam 2020-09-21
## 5439 Bihar 2020-09-21
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## 5452 Ladakh 2020-09-21
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## 5468 Uttarakhand 2020-09-21
## 5469 West Bengal 2020-09-21
## 5470 Andaman and Nicobar Islands 2020-09-22
## 5471 Andhra Pradesh 2020-09-22
## 5472 Arunachal Pradesh 2020-09-22
## 5473 Assam 2020-09-22
## 5474 Bihar 2020-09-22
## 5475 Chandigarh 2020-09-22
## 5476 Chhattisgarh 2020-09-22
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## 5478 Goa 2020-09-22
## 5479 Gujarat 2020-09-22
## 5480 Haryana 2020-09-22
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## 5483 Jharkhand 2020-09-22
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## 5501 Uttarakhand 2020-09-22
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## 5503 Andaman and Nicobar Islands 2020-09-23
## 5504 Andhra Pradesh 2020-09-23
## 5505 Arunachal Pradesh 2020-09-23
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## 5507 Bihar 2020-09-23
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## 5509 Chhattisgarh 2020-09-23
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## 5537 Andaman and Nicobar Islands 2020-09-24
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## 5539 Arunachal Pradesh 2020-09-24
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## 5541 Bihar 2020-09-24
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## 5546 Goa 2020-09-24
## 5547 Gujarat 2020-09-24
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## 5580 Gujarat 2020-09-25
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## 5584 Jharkhand 2020-09-25
## 5585 Karnataka 2020-09-25
## 5586 Kerala 2020-09-25
## 5587 Madhya Pradesh 2020-09-25
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## 5601 Uttarakhand 2020-09-25
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## 5603 Andaman and Nicobar Islands 2020-09-26
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## 5612 Goa 2020-09-26
## 5613 Gujarat 2020-09-26
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## 5620 Ladakh 2020-09-26
## 5621 Madhya Pradesh 2020-09-26
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## 5633 Telangana 2020-09-26
## 5634 Tripura 2020-09-26
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## 5636 Uttarakhand 2020-09-26
## 5637 West Bengal 2020-09-26
## 5638 Andaman and Nicobar Islands 2020-09-27
## 5639 Andhra Pradesh 2020-09-27
## 5640 Arunachal Pradesh 2020-09-27
## 5641 Assam 2020-09-27
## 5642 Bihar 2020-09-27
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## 5648 Gujarat 2020-09-27
## 5649 Haryana 2020-09-27
## 5650 Himachal Pradesh 2020-09-27
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## 5652 Jharkhand 2020-09-27
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## 5815 Dadra and Nagar Haveli and Daman and Diu 2020-10-02
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## 5840 Uttarakhand 2020-10-02
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## 5873 Uttarakhand 2020-10-03
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## 5942 Andaman and Nicobar Islands 2020-10-06
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## 5944 Arunachal Pradesh 2020-10-06
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## 5951 Goa 2020-10-06
## 5952 Gujarat 2020-10-06
## 5953 Haryana 2020-10-06
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## 5956 Jharkhand 2020-10-06
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## 5959 Ladakh 2020-10-06
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## 5973 Tripura 2020-10-06
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## 5975 Uttarakhand 2020-10-06
## 5976 West Bengal 2020-10-06
## 5977 Andaman and Nicobar Islands 2020-10-07
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## 5979 Arunachal Pradesh 2020-10-07
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## 5988 Haryana 2020-10-07
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## 5991 Jharkhand 2020-10-07
## 5992 Karnataka 2020-10-07
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## 6081 Andaman and Nicobar Islands 2020-10-10
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## 6083 Arunachal Pradesh 2020-10-10
## 6084 Assam 2020-10-10
## 6085 Bihar 2020-10-10
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## 6087 Chhattisgarh 2020-10-10
## 6088 Dadra and Nagar Haveli and Daman and Diu 2020-10-10
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## 6090 Goa 2020-10-10
## 6091 Gujarat 2020-10-10
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## 6115 Andaman and Nicobar Islands 2020-10-11
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## 6117 Arunachal Pradesh 2020-10-11
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## 6119 Bihar 2020-10-11
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## 6124 Goa 2020-10-11
## 6125 Gujarat 2020-10-11
## 6126 Haryana 2020-10-11
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## 6129 Jharkhand 2020-10-11
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## 6131 Kerala 2020-10-11
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## 6148 Andaman and Nicobar Islands 2020-10-12
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## 6179 Uttarakhand 2020-10-12
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## 6181 Andaman and Nicobar Islands 2020-10-13
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## 6190 Goa 2020-10-13
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## 6197 Kerala 2020-10-13
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## 6210 Telangana 2020-10-13
## 6211 Tripura 2020-10-13
## 6212 Uttar Pradesh 2020-10-13
## 6213 Uttarakhand 2020-10-13
## 6214 West Bengal 2020-10-13
## 6215 Andaman and Nicobar Islands 2020-10-14
## 6216 Andhra Pradesh 2020-10-14
## 6217 Arunachal Pradesh 2020-10-14
## 6218 Assam 2020-10-14
## 6219 Bihar 2020-10-14
## 6220 Chandigarh 2020-10-14
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## 6222 Dadra and Nagar Haveli and Daman and Diu 2020-10-14
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## 6224 Goa 2020-10-14
## 6225 Gujarat 2020-10-14
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## 6229 Jharkhand 2020-10-14
## 6230 Karnataka 2020-10-14
## 6231 Kerala 2020-10-14
## 6232 Madhya Pradesh 2020-10-14
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## 6238 Puducherry 2020-10-14
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## 6240 Rajasthan 2020-10-14
## 6241 Sikkim 2020-10-14
## 6242 Tamil Nadu 2020-10-14
## 6243 Telangana 2020-10-14
## 6244 Tripura 2020-10-14
## 6245 Uttar Pradesh 2020-10-14
## 6246 Uttarakhand 2020-10-14
## 6247 West Bengal 2020-10-14
## 6248 Andaman and Nicobar Islands 2020-10-15
## 6249 Andhra Pradesh 2020-10-15
## 6250 Arunachal Pradesh 2020-10-15
## 6251 Assam 2020-10-15
## 6252 Bihar 2020-10-15
## 6253 Chandigarh 2020-10-15
## 6254 Chhattisgarh 2020-10-15
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## 6259 Haryana 2020-10-15
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## 6262 Jharkhand 2020-10-15
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## 6265 Madhya Pradesh 2020-10-15
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## 6271 Puducherry 2020-10-15
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## 6274 Sikkim 2020-10-15
## 6275 Tamil Nadu 2020-10-15
## 6276 Telangana 2020-10-15
## 6277 Tripura 2020-10-15
## 6278 Uttar Pradesh 2020-10-15
## 6279 Uttarakhand 2020-10-15
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## 6284 Bihar 2020-10-16
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## 6872 Uttarakhand 2020-11-02
## 6873 West Bengal 2020-11-02
## 6874 Andaman and Nicobar Islands 2020-11-03
## 6875 Andhra Pradesh 2020-11-03
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## 7476 Arunachal Pradesh 2020-11-21
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## 7500 Rajasthan 2020-11-21
## 7501 Tamil Nadu 2020-11-21
## 7502 Telangana 2020-11-21
## 7503 Tripura 2020-11-21
## 7504 Uttar Pradesh 2020-11-21
## 7505 Uttarakhand 2020-11-21
## 7506 West Bengal 2020-11-21
## 7507 Andaman and Nicobar Islands 2020-11-22
## 7508 Andhra Pradesh 2020-11-22
## 7509 Arunachal Pradesh 2020-11-22
## 7510 Assam 2020-11-22
## 7511 Bihar 2020-11-22
## 7512 Chandigarh 2020-11-22
## 7513 Chhattisgarh 2020-11-22
## 7514 Delhi 2020-11-22
## 7515 Goa 2020-11-22
## 7516 Gujarat 2020-11-22
## 7517 Haryana 2020-11-22
## 7518 Himachal Pradesh 2020-11-22
## 7519 Jammu and Kashmir 2020-11-22
## 7520 Jharkhand 2020-11-22
## 7521 Karnataka 2020-11-22
## 7522 Kerala 2020-11-22
## 7523 Madhya Pradesh 2020-11-22
## 7524 Maharashtra 2020-11-22
## 7525 Manipur 2020-11-22
## 7526 Mizoram 2020-11-22
## 7527 Nagaland 2020-11-22
## 7528 Odisha 2020-11-22
## 7529 Puducherry 2020-11-22
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## 7531 Rajasthan 2020-11-22
## 7532 Sikkim 2020-11-22
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## 7534 Telangana 2020-11-22
## 7535 Tripura 2020-11-22
## 7536 Uttar Pradesh 2020-11-22
## 7537 Uttarakhand 2020-11-22
## 7538 West Bengal 2020-11-22
## 7539 Andaman and Nicobar Islands 2020-11-23
## 7540 Andhra Pradesh 2020-11-23
## 7541 Arunachal Pradesh 2020-11-23
## 7542 Assam 2020-11-23
## 7543 Bihar 2020-11-23
## 7544 Chandigarh 2020-11-23
## 7545 Chhattisgarh 2020-11-23
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## 7547 Goa 2020-11-23
## 7548 Gujarat 2020-11-23
## 7549 Haryana 2020-11-23
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## 7552 Jharkhand 2020-11-23
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## 7554 Kerala 2020-11-23
## 7555 Ladakh 2020-11-23
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## 7570 Uttarakhand 2020-11-23
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## 7572 Andaman and Nicobar Islands 2020-11-24
## 7573 Andhra Pradesh 2020-11-24
## 7574 Arunachal Pradesh 2020-11-24
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## 7576 Bihar 2020-11-24
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## 7580 Goa 2020-11-24
## 7581 Gujarat 2020-11-24
## 7582 Haryana 2020-11-24
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## 7585 Jharkhand 2020-11-24
## 7586 Karnataka 2020-11-24
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## 7588 Ladakh 2020-11-24
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## 7602 Tripura 2020-11-24
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## 7606 Andaman and Nicobar Islands 2020-11-25
## 7607 Andhra Pradesh 2020-11-25
## 7608 Arunachal Pradesh 2020-11-25
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## 7614 Goa 2020-11-25
## 7615 Gujarat 2020-11-25
## 7616 Haryana 2020-11-25
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## 7619 Jharkhand 2020-11-25
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## 7622 Ladakh 2020-11-25
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## 7638 Andaman and Nicobar Islands 2020-11-26
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## 7640 Arunachal Pradesh 2020-11-26
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## 7646 Goa 2020-11-26
## 7647 Gujarat 2020-11-26
## 7648 Haryana 2020-11-26
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## 7651 Jharkhand 2020-11-26
## 7652 Karnataka 2020-11-26
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## 7654 Ladakh 2020-11-26
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## 7673 Arunachal Pradesh 2020-11-27
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## 7679 Goa 2020-11-27
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## 7704 Andaman and Nicobar Islands 2020-11-28
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## 7706 Arunachal Pradesh 2020-11-28
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## 7711 Goa 2020-11-28
## 7712 Gujarat 2020-11-28
## 7713 Haryana 2020-11-28
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## 7716 Jharkhand 2020-11-28
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## 7719 Ladakh 2020-11-28
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## 7733 Tripura 2020-11-28
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## 7735 Uttarakhand 2020-11-28
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## 7737 Andaman and Nicobar Islands 2020-11-29
## 7738 Andhra Pradesh 2020-11-29
## 7739 Arunachal Pradesh 2020-11-29
## 7740 Assam 2020-11-29
## 7741 Bihar 2020-11-29
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## 7745 Goa 2020-11-29
## 7746 Gujarat 2020-11-29
## 7747 Haryana 2020-11-29
## 7748 Himachal Pradesh 2020-11-29
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## 7750 Jharkhand 2020-11-29
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## 7769 Andaman and Nicobar Islands 2020-11-30
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## 7778 Gujarat 2020-11-30
## 7779 Haryana 2020-11-30
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## 7812 Haryana 2020-12-01
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## 7818 Ladakh 2020-12-01
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## 7834 Uttarakhand 2020-12-01
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## 7836 Andaman and Nicobar Islands 2020-12-02
## 7837 Andhra Pradesh 2020-12-02
## 7838 Arunachal Pradesh 2020-12-02
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## 7840 Bihar 2020-12-02
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## 7844 Goa 2020-12-02
## 7845 Gujarat 2020-12-02
## 7846 Haryana 2020-12-02
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## 7849 Jharkhand 2020-12-02
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## 7852 Ladakh 2020-12-02
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## 7872 Arunachal Pradesh 2020-12-03
## 7873 Assam 2020-12-03
## 7874 Bihar 2020-12-03
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## 7878 Goa 2020-12-03
## 7879 Gujarat 2020-12-03
## 7880 Haryana 2020-12-03
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## 7883 Jharkhand 2020-12-03
## 7884 Karnataka 2020-12-03
## 7885 Kerala 2020-12-03
## 7886 Ladakh 2020-12-03
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## 7902 Uttarakhand 2020-12-03
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## 7904 Andaman and Nicobar Islands 2020-12-04
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## 7906 Arunachal Pradesh 2020-12-04
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## 7914 Haryana 2020-12-04
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## 7920 Madhya Pradesh 2020-12-04
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## 7933 Tripura 2020-12-04
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## 7935 Uttarakhand 2020-12-04
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## 7937 Andaman and Nicobar Islands 2020-12-05
## 7938 Andhra Pradesh 2020-12-05
## 7939 Arunachal Pradesh 2020-12-05
## 7940 Assam 2020-12-05
## 7941 Bihar 2020-12-05
## 7942 Chandigarh 2020-12-05
## 7943 Chhattisgarh 2020-12-05
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## 7945 Goa 2020-12-05
## 7946 Gujarat 2020-12-05
## 7947 Haryana 2020-12-05
## 7948 Himachal Pradesh 2020-12-05
## 7949 Jammu and Kashmir 2020-12-05
## 7950 Jharkhand 2020-12-05
## 7951 Karnataka 2020-12-05
## 7952 Kerala 2020-12-05
## 7953 Ladakh 2020-12-05
## 7954 Madhya Pradesh 2020-12-05
## 7955 Maharashtra 2020-12-05
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## 7958 Mizoram 2020-12-05
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## 7966 Telangana 2020-12-05
## 7967 Tripura 2020-12-05
## 7968 Uttar Pradesh 2020-12-05
## 7969 Uttarakhand 2020-12-05
## 7970 West Bengal 2020-12-05
## 7971 Andaman and Nicobar Islands 2020-12-06
## 7972 Andhra Pradesh 2020-12-06
## 7973 Arunachal Pradesh 2020-12-06
## 7974 Assam 2020-12-06
## 7975 Bihar 2020-12-06
## 7976 Chandigarh 2020-12-06
## 7977 Chhattisgarh 2020-12-06
## 7978 Delhi 2020-12-06
## 7979 Goa 2020-12-06
## 7980 Gujarat 2020-12-06
## 7981 Haryana 2020-12-06
## 7982 Himachal Pradesh 2020-12-06
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## 7984 Jharkhand 2020-12-06
## 7985 Karnataka 2020-12-06
## 7986 Kerala 2020-12-06
## 7987 Ladakh 2020-12-06
## 7988 Madhya Pradesh 2020-12-06
## 7989 Maharashtra 2020-12-06
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## 7991 Mizoram 2020-12-06
## 7992 Nagaland 2020-12-06
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## 7997 Sikkim 2020-12-06
## 7998 Tamil Nadu 2020-12-06
## 7999 Telangana 2020-12-06
## 8000 Tripura 2020-12-06
## 8001 Uttar Pradesh 2020-12-06
## 8002 Uttarakhand 2020-12-06
## 8003 West Bengal 2020-12-06
## 8004 Andaman and Nicobar Islands 2020-12-07
## 8005 Andhra Pradesh 2020-12-07
## 8006 Arunachal Pradesh 2020-12-07
## 8007 Assam 2020-12-07
## 8008 Bihar 2020-12-07
## 8009 Chandigarh 2020-12-07
## 8010 Chhattisgarh 2020-12-07
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## 8012 Goa 2020-12-07
## 8013 Gujarat 2020-12-07
## 8014 Haryana 2020-12-07
## 8015 Himachal Pradesh 2020-12-07
## 8016 Jammu and Kashmir 2020-12-07
## 8017 Jharkhand 2020-12-07
## 8018 Karnataka 2020-12-07
## 8019 Kerala 2020-12-07
## 8020 Madhya Pradesh 2020-12-07
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## 8033 Tripura 2020-12-07
## 8034 Uttar Pradesh 2020-12-07
## 8035 Uttarakhand 2020-12-07
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## 8037 Andaman and Nicobar Islands 2020-12-08
## 8038 Andhra Pradesh 2020-12-08
## 8039 Arunachal Pradesh 2020-12-08
## 8040 Assam 2020-12-08
## 8041 Bihar 2020-12-08
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## 8045 Goa 2020-12-08
## 8046 Gujarat 2020-12-08
## 8047 Haryana 2020-12-08
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## 8052 Kerala 2020-12-08
## 8053 Ladakh 2020-12-08
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## 8067 Tripura 2020-12-08
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## 8069 Uttarakhand 2020-12-08
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## 8071 Andaman and Nicobar Islands 2020-12-09
## 8072 Andhra Pradesh 2020-12-09
## 8073 Arunachal Pradesh 2020-12-09
## 8074 Assam 2020-12-09
## 8075 Bihar 2020-12-09
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## 8079 Goa 2020-12-09
## 8080 Gujarat 2020-12-09
## 8081 Haryana 2020-12-09
## 8082 Himachal Pradesh 2020-12-09
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## 8084 Jharkhand 2020-12-09
## 8085 Karnataka 2020-12-09
## 8086 Kerala 2020-12-09
## 8087 Madhya Pradesh 2020-12-09
## 8088 Maharashtra 2020-12-09
## 8089 Meghalaya 2020-12-09
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## 8098 Telangana 2020-12-09
## 8099 Tripura 2020-12-09
## 8100 Uttar Pradesh 2020-12-09
## 8101 Uttarakhand 2020-12-09
## 8102 West Bengal 2020-12-09
## 8103 Andaman and Nicobar Islands 2020-12-10
## 8104 Andhra Pradesh 2020-12-10
## 8105 Arunachal Pradesh 2020-12-10
## 8106 Assam 2020-12-10
## 8107 Bihar 2020-12-10
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## 8111 Goa 2020-12-10
## 8112 Gujarat 2020-12-10
## 8113 Haryana 2020-12-10
## 8114 Himachal Pradesh 2020-12-10
## 8115 Jammu and Kashmir 2020-12-10
## 8116 Jharkhand 2020-12-10
## 8117 Karnataka 2020-12-10
## 8118 Kerala 2020-12-10
## 8119 Madhya Pradesh 2020-12-10
## 8120 Maharashtra 2020-12-10
## 8121 Manipur 2020-12-10
## 8122 Meghalaya 2020-12-10
## 8123 Mizoram 2020-12-10
## 8124 Nagaland 2020-12-10
## 8125 Odisha 2020-12-10
## 8126 Puducherry 2020-12-10
## 8127 Punjab 2020-12-10
## 8128 Rajasthan 2020-12-10
## 8129 Sikkim 2020-12-10
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## 8132 Tripura 2020-12-10
## 8133 Uttar Pradesh 2020-12-10
## 8134 Uttarakhand 2020-12-10
## 8135 West Bengal 2020-12-10
## 8136 Andaman and Nicobar Islands 2020-12-11
## 8137 Andhra Pradesh 2020-12-11
## 8138 Arunachal Pradesh 2020-12-11
## 8139 Assam 2020-12-11
## 8140 Bihar 2020-12-11
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## 8144 Goa 2020-12-11
## 8145 Gujarat 2020-12-11
## 8146 Haryana 2020-12-11
## 8147 Himachal Pradesh 2020-12-11
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## 8149 Jharkhand 2020-12-11
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## 8152 Ladakh 2020-12-11
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## 8168 Uttarakhand 2020-12-11
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## 8213 Haryana 2020-12-13
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## 8246 Haryana 2020-12-14
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## 8376 Goa 2020-12-18
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## 8378 Haryana 2020-12-18
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## 8410 Haryana 2020-12-19
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## 8413 Jharkhand 2020-12-19
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## 8416 Ladakh 2020-12-19
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## 8432 Andaman and Nicobar Islands 2020-12-20
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## 8434 Arunachal Pradesh 2020-12-20
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## 8465 Arunachal Pradesh 2020-12-21
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## 8471 Goa 2020-12-21
## 8472 Gujarat 2020-12-21
## 8473 Haryana 2020-12-21
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## 8476 Jharkhand 2020-12-21
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## 8479 Ladakh 2020-12-21
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## 8496 Andaman and Nicobar Islands 2020-12-22
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## 8498 Arunachal Pradesh 2020-12-22
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## 8530 Andaman and Nicobar Islands 2020-12-23
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## 8572 Gujarat 2020-12-24
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## 8576 Jharkhand 2020-12-24
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## 8597 Andaman and Nicobar Islands 2020-12-25
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## 8613 Ladakh 2020-12-25
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## 8729 Andaman and Nicobar Islands 2020-12-29
## 8730 Andhra Pradesh 2020-12-29
## 8731 Arunachal Pradesh 2020-12-29
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## 8752 Punjab 2020-12-29
## 8753 Rajasthan 2020-12-29
## 8754 Sikkim 2020-12-29
## 8755 Tamil Nadu 2020-12-29
## 8756 Telangana 2020-12-29
## 8757 Tripura 2020-12-29
## 8758 Uttar Pradesh 2020-12-29
## 8759 Uttarakhand 2020-12-29
## 8760 West Bengal 2020-12-29
## 8761 Andaman and Nicobar Islands 2020-12-30
## 8762 Andhra Pradesh 2020-12-30
## 8763 Arunachal Pradesh 2020-12-30
## 8764 Assam 2020-12-30
## 8765 Bihar 2020-12-30
## 8766 Chandigarh 2020-12-30
## 8767 Chhattisgarh 2020-12-30
## 8768 Delhi 2020-12-30
## 8769 Goa 2020-12-30
## 8770 Gujarat 2020-12-30
## 8771 Haryana 2020-12-30
## 8772 Himachal Pradesh 2020-12-30
## 8773 Jammu and Kashmir 2020-12-30
## 8774 Jharkhand 2020-12-30
## 8775 Karnataka 2020-12-30
## 8776 Kerala 2020-12-30
## 8777 Ladakh 2020-12-30
## 8778 Madhya Pradesh 2020-12-30
## 8779 Maharashtra 2020-12-30
## 8780 Meghalaya 2020-12-30
## 8781 Nagaland 2020-12-30
## 8782 Odisha 2020-12-30
## 8783 Puducherry 2020-12-30
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## 8788 Telangana 2020-12-30
## 8789 Tripura 2020-12-30
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## 8791 Uttarakhand 2020-12-30
## 8792 West Bengal 2020-12-30
## 8793 Andaman and Nicobar Islands 2020-12-31
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## 8795 Arunachal Pradesh 2020-12-31
## 8796 Assam 2020-12-31
## 8797 Bihar 2020-12-31
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## 8801 Goa 2020-12-31
## 8802 Gujarat 2020-12-31
## 8803 Haryana 2020-12-31
## 8804 Himachal Pradesh 2020-12-31
## 8805 Jammu and Kashmir 2020-12-31
## 8806 Jharkhand 2020-12-31
## 8807 Karnataka 2020-12-31
## 8808 Kerala 2020-12-31
## 8809 Ladakh 2020-12-31
## 8810 Madhya Pradesh 2020-12-31
## 8811 Maharashtra 2020-12-31
## 8812 Mizoram 2020-12-31
## 8813 Nagaland 2020-12-31
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## 8820 Telangana 2020-12-31
## 8821 Tripura 2020-12-31
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## 8989 Arunachal Pradesh 2021-01-06
## 8990 Assam 2021-01-06
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## 8994 Delhi 2021-01-06
## 8995 Goa 2021-01-06
## 8996 Gujarat 2021-01-06
## 8997 Haryana 2021-01-06
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## 9014 Sikkim 2021-01-06
## 9015 Tamil Nadu 2021-01-06
## 9016 Telangana 2021-01-06
## 9017 Tripura 2021-01-06
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## 9029 Goa 2021-01-07
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## 9031 Haryana 2021-01-07
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## 9057 Arunachal Pradesh 2021-01-08
## 9058 Assam 2021-01-08
## 9059 Bihar 2021-01-08
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## 9062 Delhi 2021-01-08
## 9063 Goa 2021-01-08
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## 9065 Haryana 2021-01-08
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## 9068 Jharkhand 2021-01-08
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## 9071 Ladakh 2021-01-08
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## 9073 Maharashtra 2021-01-08
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## 9082 Sikkim 2021-01-08
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## 9084 Telangana 2021-01-08
## 9085 Tripura 2021-01-08
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## 9087 Uttarakhand 2021-01-08
## 9088 West Bengal 2021-01-08
## 9089 Andaman and Nicobar Islands 2021-01-09
## 9090 Andhra Pradesh 2021-01-09
## 9091 Arunachal Pradesh 2021-01-09
## 9092 Assam 2021-01-09
## 9093 Bihar 2021-01-09
## 9094 Chandigarh 2021-01-09
## 9095 Chhattisgarh 2021-01-09
## 9096 Delhi 2021-01-09
## 9097 Goa 2021-01-09
## 9098 Gujarat 2021-01-09
## 9099 Haryana 2021-01-09
## 9100 Himachal Pradesh 2021-01-09
## 9101 Jammu and Kashmir 2021-01-09
## 9102 Jharkhand 2021-01-09
## 9103 Karnataka 2021-01-09
## 9104 Kerala 2021-01-09
## 9105 Ladakh 2021-01-09
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## 9107 Maharashtra 2021-01-09
## 9108 Manipur 2021-01-09
## 9109 Meghalaya 2021-01-09
## 9110 Mizoram 2021-01-09
## 9111 Nagaland 2021-01-09
## 9112 Odisha 2021-01-09
## 9113 Puducherry 2021-01-09
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## 9115 Rajasthan 2021-01-09
## 9116 Sikkim 2021-01-09
## 9117 Tamil Nadu 2021-01-09
## 9118 Telangana 2021-01-09
## 9119 Uttar Pradesh 2021-01-09
## 9120 Uttarakhand 2021-01-09
## 9121 West Bengal 2021-01-09
## 9122 Andaman and Nicobar Islands 2021-01-10
## 9123 Andhra Pradesh 2021-01-10
## 9124 Arunachal Pradesh 2021-01-10
## 9125 Assam 2021-01-10
## 9126 Bihar 2021-01-10
## 9127 Chandigarh 2021-01-10
## 9128 Chhattisgarh 2021-01-10
## 9129 Delhi 2021-01-10
## 9130 Goa 2021-01-10
## 9131 Gujarat 2021-01-10
## 9132 Haryana 2021-01-10
## 9133 Himachal Pradesh 2021-01-10
## 9134 Jammu and Kashmir 2021-01-10
## 9135 Jharkhand 2021-01-10
## 9136 Karnataka 2021-01-10
## 9137 Kerala 2021-01-10
## 9138 Ladakh 2021-01-10
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## 9140 Maharashtra 2021-01-10
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## 9148 Sikkim 2021-01-10
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## 9150 Telangana 2021-01-10
## 9151 Tripura 2021-01-10
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## 9153 Uttarakhand 2021-01-10
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## 9155 Andaman and Nicobar Islands 2021-01-11
## 9156 Andhra Pradesh 2021-01-11
## 9157 Arunachal Pradesh 2021-01-11
## 9158 Assam 2021-01-11
## 9159 Bihar 2021-01-11
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## 9162 Goa 2021-01-11
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## 9170 Ladakh 2021-01-11
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## 9181 Sikkim 2021-01-11
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## 9184 Tripura 2021-01-11
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## 9188 Andaman and Nicobar Islands 2021-01-12
## 9189 Andhra Pradesh 2021-01-12
## 9190 Arunachal Pradesh 2021-01-12
## 9191 Assam 2021-01-12
## 9192 Bihar 2021-01-12
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## 9194 Chhattisgarh 2021-01-12
## 9195 Delhi 2021-01-12
## 9196 Goa 2021-01-12
## 9197 Gujarat 2021-01-12
## 9198 Haryana 2021-01-12
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## 9200 Jammu and Kashmir 2021-01-12
## 9201 Jharkhand 2021-01-12
## 9202 Karnataka 2021-01-12
## 9203 Kerala 2021-01-12
## 9204 Ladakh 2021-01-12
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## 9206 Maharashtra 2021-01-12
## 9207 Manipur 2021-01-12
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## 9213 Punjab 2021-01-12
## 9214 Rajasthan 2021-01-12
## 9215 Sikkim 2021-01-12
## 9216 Tamil Nadu 2021-01-12
## 9217 Telangana 2021-01-12
## 9218 Tripura 2021-01-12
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## 9220 Uttarakhand 2021-01-12
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## 9222 Andaman and Nicobar Islands 2021-01-13
## 9223 Andhra Pradesh 2021-01-13
## 9224 Arunachal Pradesh 2021-01-13
## 9225 Assam 2021-01-13
## 9226 Bihar 2021-01-13
## 9227 Chandigarh 2021-01-13
## 9228 Chhattisgarh 2021-01-13
## 9229 Delhi 2021-01-13
## 9230 Goa 2021-01-13
## 9231 Gujarat 2021-01-13
## 9232 Haryana 2021-01-13
## 9233 Himachal Pradesh 2021-01-13
## 9234 Jammu and Kashmir 2021-01-13
## 9235 Jharkhand 2021-01-13
## 9236 Karnataka 2021-01-13
## 9237 Kerala 2021-01-13
## 9238 Ladakh 2021-01-13
## 9239 Madhya Pradesh 2021-01-13
## 9240 Maharashtra 2021-01-13
## 9241 Manipur 2021-01-13
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## 9244 Nagaland 2021-01-13
## 9245 Odisha 2021-01-13
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## 9248 Rajasthan 2021-01-13
## 9249 Sikkim 2021-01-13
## 9250 Tamil Nadu 2021-01-13
## 9251 Telangana 2021-01-13
## 9252 Tripura 2021-01-13
## 9253 Uttar Pradesh 2021-01-13
## 9254 Uttarakhand 2021-01-13
## 9255 West Bengal 2021-01-13
## 9256 Andaman and Nicobar Islands 2021-01-14
## 9257 Andhra Pradesh 2021-01-14
## 9258 Arunachal Pradesh 2021-01-14
## 9259 Assam 2021-01-14
## 9260 Bihar 2021-01-14
## 9261 Chandigarh 2021-01-14
## 9262 Chhattisgarh 2021-01-14
## 9263 Delhi 2021-01-14
## 9264 Goa 2021-01-14
## 9265 Gujarat 2021-01-14
## 9266 Haryana 2021-01-14
## 9267 Himachal Pradesh 2021-01-14
## 9268 Jammu and Kashmir 2021-01-14
## 9269 Jharkhand 2021-01-14
## 9270 Karnataka 2021-01-14
## 9271 Kerala 2021-01-14
## 9272 Ladakh 2021-01-14
## 9273 Madhya Pradesh 2021-01-14
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## 9286 Tripura 2021-01-14
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## 9290 Andaman and Nicobar Islands 2021-01-15
## 9291 Andhra Pradesh 2021-01-15
## 9292 Arunachal Pradesh 2021-01-15
## 9293 Assam 2021-01-15
## 9294 Bihar 2021-01-15
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## 9298 Goa 2021-01-15
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## 9300 Haryana 2021-01-15
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## 9333 Haryana 2021-01-16
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## 9352 Tripura 2021-01-16
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## 9356 Andaman and Nicobar Islands 2021-01-17
## 9357 Andhra Pradesh 2021-01-17
## 9358 Arunachal Pradesh 2021-01-17
## 9359 Assam 2021-01-17
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## 9366 Haryana 2021-01-17
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## 9371 Kerala 2021-01-17
## 9372 Madhya Pradesh 2021-01-17
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## 9375 Mizoram 2021-01-17
## 9376 Nagaland 2021-01-17
## 9377 Odisha 2021-01-17
## 9378 Puducherry 2021-01-17
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## 9381 Sikkim 2021-01-17
## 9382 Tamil Nadu 2021-01-17
## 9383 Telangana 2021-01-17
## 9384 Uttar Pradesh 2021-01-17
## 9385 Uttarakhand 2021-01-17
## 9386 West Bengal 2021-01-17
## 9387 Andaman and Nicobar Islands 2021-01-18
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## 9389 Arunachal Pradesh 2021-01-18
## 9390 Assam 2021-01-18
## 9391 Bihar 2021-01-18
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## 9395 Goa 2021-01-18
## 9396 Gujarat 2021-01-18
## 9397 Haryana 2021-01-18
## 9398 Himachal Pradesh 2021-01-18
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## 9498 Jharkhand 2021-01-21
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## 9593 Goa 2021-01-24
## 9594 Haryana 2021-01-24
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## 9597 Jharkhand 2021-01-24
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## 9855 Lakshadweep 2021-02-01
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## 9873 Arunachal Pradesh 2021-02-02
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## 9881 Haryana 2021-02-02
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## 9887 Lakshadweep 2021-02-02
## 9888 Madhya Pradesh 2021-02-02
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## 9939 Arunachal Pradesh 2021-02-04
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## 9972 Arunachal Pradesh 2021-02-05
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## 9985 Lakshadweep 2021-02-05
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## 9997 Tamil Nadu 2021-02-05
## 9998 Telangana 2021-02-05
## 9999 Tripura 2021-02-05
## 10000 Uttar Pradesh 2021-02-05
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## 10620 Maharashtra 2021-02-24
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## 11861 Delhi 2021-04-03
## 11862 Goa 2021-04-03
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## 11864 Haryana 2021-04-03
## 11865 Himachal Pradesh 2021-04-03
## 11866 Jammu and Kashmir 2021-04-03
## 11867 Jharkhand 2021-04-03
## 11868 Karnataka 2021-04-03
## 11869 Kerala 2021-04-03
## 11870 Lakshadweep 2021-04-03
## 11871 Madhya Pradesh 2021-04-03
## 11872 Maharashtra 2021-04-03
## 11873 Manipur 2021-04-03
## 11874 Meghalaya 2021-04-03
## 11875 Mizoram 2021-04-03
## 11876 Nagaland 2021-04-03
## 11877 Odisha 2021-04-03
## 11878 Puducherry 2021-04-03
## 11879 Punjab 2021-04-03
## 11880 Rajasthan 2021-04-03
## 11881 Sikkim 2021-04-03
## 11882 Tamil Nadu 2021-04-03
## 11883 Telangana 2021-04-03
## 11884 Tripura 2021-04-03
## 11885 Uttar Pradesh 2021-04-03
## 11886 Uttarakhand 2021-04-03
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## 11888 Andaman and Nicobar Islands 2021-04-04
## 11889 Andhra Pradesh 2021-04-04
## 11890 Arunachal Pradesh 2021-04-04
## 11891 Assam 2021-04-04
## 11892 Bihar 2021-04-04
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## 11917 Tripura 2021-04-04
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## 11931 Haryana 2021-04-05
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## 11971 Madhya Pradesh 2021-04-06
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## 11996 Gujarat 2021-04-07
## 11997 Haryana 2021-04-07
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## 12000 Jharkhand 2021-04-07
## 12001 Karnataka 2021-04-07
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## 12003 Lakshadweep 2021-04-07
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## 12069 Lakshadweep 2021-04-09
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## 12095 Haryana 2021-04-10
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## 12098 Jharkhand 2021-04-10
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## 12100 Kerala 2021-04-10
## 12101 Lakshadweep 2021-04-10
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## 12103 Maharashtra 2021-04-10
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## 12107 Nagaland 2021-04-10
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## 12118 Andaman and Nicobar Islands 2021-04-11
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## 12121 Assam 2021-04-11
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## 12126 Goa 2021-04-11
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## 12128 Haryana 2021-04-11
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## 12131 Jharkhand 2021-04-11
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## 12134 Lakshadweep 2021-04-11
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## 12147 Tripura 2021-04-11
## 12148 Uttar Pradesh 2021-04-11
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## 12151 Andaman and Nicobar Islands 2021-04-12
## 12152 Andhra Pradesh 2021-04-12
## 12153 Arunachal Pradesh 2021-04-12
## 12154 Assam 2021-04-12
## 12155 Bihar 2021-04-12
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## 12157 Chhattisgarh 2021-04-12
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## 12159 Goa 2021-04-12
## 12160 Gujarat 2021-04-12
## 12161 Haryana 2021-04-12
## 12162 Himachal Pradesh 2021-04-12
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## 12164 Jharkhand 2021-04-12
## 12165 Karnataka 2021-04-12
## 12166 Kerala 2021-04-12
## 12167 Lakshadweep 2021-04-12
## 12168 Madhya Pradesh 2021-04-12
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## 12177 Rajasthan 2021-04-12
## 12178 Tamil Nadu 2021-04-12
## 12179 Telangana 2021-04-12
## 12180 Tripura 2021-04-12
## 12181 Uttar Pradesh 2021-04-12
## 12182 Uttarakhand 2021-04-12
## 12183 West Bengal 2021-04-12
## 12184 Andaman and Nicobar Islands 2021-04-13
## 12185 Andhra Pradesh 2021-04-13
## 12186 Arunachal Pradesh 2021-04-13
## 12187 Assam 2021-04-13
## 12188 Bihar 2021-04-13
## 12189 Chandigarh 2021-04-13
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## 12192 Goa 2021-04-13
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## 12194 Haryana 2021-04-13
## 12195 Himachal Pradesh 2021-04-13
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## 12197 Jharkhand 2021-04-13
## 12198 Karnataka 2021-04-13
## 12199 Kerala 2021-04-13
## 12200 Lakshadweep 2021-04-13
## 12201 Madhya Pradesh 2021-04-13
## 12202 Maharashtra 2021-04-13
## 12203 Manipur 2021-04-13
## 12204 Meghalaya 2021-04-13
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## 12206 Nagaland 2021-04-13
## 12207 Odisha 2021-04-13
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## 12210 Rajasthan 2021-04-13
## 12211 Tamil Nadu 2021-04-13
## 12212 Telangana 2021-04-13
## 12213 Tripura 2021-04-13
## 12214 Uttar Pradesh 2021-04-13
## 12215 Uttarakhand 2021-04-13
## 12216 West Bengal 2021-04-13
## 12217 Andaman and Nicobar Islands 2021-04-14
## 12218 Andhra Pradesh 2021-04-14
## 12219 Arunachal Pradesh 2021-04-14
## 12220 Assam 2021-04-14
## 12221 Bihar 2021-04-14
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## 12224 Delhi 2021-04-14
## 12225 Goa 2021-04-14
## 12226 Gujarat 2021-04-14
## 12227 Haryana 2021-04-14
## 12228 Himachal Pradesh 2021-04-14
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## 12230 Jharkhand 2021-04-14
## 12231 Karnataka 2021-04-14
## 12232 Kerala 2021-04-14
## 12233 Lakshadweep 2021-04-14
## 12234 Madhya Pradesh 2021-04-14
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## 12239 Nagaland 2021-04-14
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## 12245 Telangana 2021-04-14
## 12246 Tripura 2021-04-14
## 12247 Uttar Pradesh 2021-04-14
## 12248 Uttarakhand 2021-04-14
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## 12250 Andaman and Nicobar Islands 2021-04-15
## 12251 Andhra Pradesh 2021-04-15
## 12252 Arunachal Pradesh 2021-04-15
## 12253 Assam 2021-04-15
## 12254 Bihar 2021-04-15
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## 12258 Goa 2021-04-15
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## 12260 Haryana 2021-04-15
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## 12263 Jharkhand 2021-04-15
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## 12265 Kerala 2021-04-15
## 12266 Lakshadweep 2021-04-15
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## 12278 Telangana 2021-04-15
## 12279 Uttar Pradesh 2021-04-15
## 12280 Uttarakhand 2021-04-15
## 12281 West Bengal 2021-04-15
## 12282 Andaman and Nicobar Islands 2021-04-16
## 12283 Andhra Pradesh 2021-04-16
## 12284 Arunachal Pradesh 2021-04-16
## 12285 Assam 2021-04-16
## 12286 Bihar 2021-04-16
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## 12290 Goa 2021-04-16
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## 12292 Haryana 2021-04-16
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## 12295 Jharkhand 2021-04-16
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## 12298 Lakshadweep 2021-04-16
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## 12310 Telangana 2021-04-16
## 12311 Tripura 2021-04-16
## 12312 Uttar Pradesh 2021-04-16
## 12313 Uttarakhand 2021-04-16
## 12314 West Bengal 2021-04-16
## 12315 Andaman and Nicobar Islands 2021-04-17
## 12316 Andhra Pradesh 2021-04-17
## 12317 Arunachal Pradesh 2021-04-17
## 12318 Assam 2021-04-17
## 12319 Bihar 2021-04-17
## 12320 Chandigarh 2021-04-17
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## 12323 Goa 2021-04-17
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## 12325 Haryana 2021-04-17
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## 12327 Jammu and Kashmir 2021-04-17
## 12328 Jharkhand 2021-04-17
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## 12330 Kerala 2021-04-17
## 12331 Lakshadweep 2021-04-17
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## 12344 Tripura 2021-04-17
## 12345 Uttar Pradesh 2021-04-17
## 12346 Uttarakhand 2021-04-17
## 12347 West Bengal 2021-04-17
## 12348 Andaman and Nicobar Islands 2021-04-18
## 12349 Andhra Pradesh 2021-04-18
## 12350 Arunachal Pradesh 2021-04-18
## 12351 Assam 2021-04-18
## 12352 Bihar 2021-04-18
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## 12356 Goa 2021-04-18
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## 12358 Haryana 2021-04-18
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## 12376 Tripura 2021-04-18
## 12377 Uttar Pradesh 2021-04-18
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## 12380 Andaman and Nicobar Islands 2021-04-19
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## 12382 Arunachal Pradesh 2021-04-19
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## 12411 Uttarakhand 2021-04-19
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## 12415 Arunachal Pradesh 2021-04-20
## 12416 Assam 2021-04-20
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## 12423 Haryana 2021-04-20
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## 12445 Andaman and Nicobar Islands 2021-04-21
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## 12447 Arunachal Pradesh 2021-04-21
## 12448 Assam 2021-04-21
## 12449 Bihar 2021-04-21
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## 12455 Haryana 2021-04-21
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## 12460 Kerala 2021-04-21
## 12461 Lakshadweep 2021-04-21
## 12462 Madhya Pradesh 2021-04-21
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## 12475 Uttarakhand 2021-04-21
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## 12477 Andaman and Nicobar Islands 2021-04-22
## 12478 Andhra Pradesh 2021-04-22
## 12479 Arunachal Pradesh 2021-04-22
## 12480 Assam 2021-04-22
## 12481 Bihar 2021-04-22
## 12482 Chandigarh 2021-04-22
## 12483 Chhattisgarh 2021-04-22
## 12484 Delhi 2021-04-22
## 12485 Goa 2021-04-22
## 12486 Gujarat 2021-04-22
## 12487 Haryana 2021-04-22
## 12488 Himachal Pradesh 2021-04-22
## 12489 Jammu and Kashmir 2021-04-22
## 12490 Jharkhand 2021-04-22
## 12491 Karnataka 2021-04-22
## 12492 Kerala 2021-04-22
## 12493 Lakshadweep 2021-04-22
## 12494 Madhya Pradesh 2021-04-22
## 12495 Maharashtra 2021-04-22
## 12496 Manipur 2021-04-22
## 12497 Meghalaya 2021-04-22
## 12498 Mizoram 2021-04-22
## 12499 Nagaland 2021-04-22
## 12500 Odisha 2021-04-22
## 12501 Puducherry 2021-04-22
## 12502 Punjab 2021-04-22
## 12503 Rajasthan 2021-04-22
## 12504 Tamil Nadu 2021-04-22
## 12505 Telangana 2021-04-22
## 12506 Tripura 2021-04-22
## 12507 Uttar Pradesh 2021-04-22
## 12508 Uttarakhand 2021-04-22
## 12509 West Bengal 2021-04-22
## 12510 Andaman and Nicobar Islands 2021-04-23
## 12511 Andhra Pradesh 2021-04-23
## 12512 Arunachal Pradesh 2021-04-23
## 12513 Assam 2021-04-23
## 12514 Bihar 2021-04-23
## 12515 Chandigarh 2021-04-23
## 12516 Chhattisgarh 2021-04-23
## 12517 Delhi 2021-04-23
## 12518 Goa 2021-04-23
## 12519 Gujarat 2021-04-23
## 12520 Haryana 2021-04-23
## 12521 Himachal Pradesh 2021-04-23
## 12522 Jammu and Kashmir 2021-04-23
## 12523 Jharkhand 2021-04-23
## 12524 Karnataka 2021-04-23
## 12525 Kerala 2021-04-23
## 12526 Ladakh 2021-04-23
## 12527 Lakshadweep 2021-04-23
## 12528 Madhya Pradesh 2021-04-23
## 12529 Maharashtra 2021-04-23
## 12530 Manipur 2021-04-23
## 12531 Meghalaya 2021-04-23
## 12532 Mizoram 2021-04-23
## 12533 Nagaland 2021-04-23
## 12534 Odisha 2021-04-23
## 12535 Puducherry 2021-04-23
## 12536 Punjab 2021-04-23
## 12537 Rajasthan 2021-04-23
## 12538 Tamil Nadu 2021-04-23
## 12539 Telangana 2021-04-23
## 12540 Tripura 2021-04-23
## 12541 Uttar Pradesh 2021-04-23
## 12542 Uttarakhand 2021-04-23
## 12543 West Bengal 2021-04-23
## 12544 Andaman and Nicobar Islands 2021-04-24
## 12545 Andhra Pradesh 2021-04-24
## 12546 Arunachal Pradesh 2021-04-24
## 12547 Assam 2021-04-24
## 12548 Bihar 2021-04-24
## 12549 Chandigarh 2021-04-24
## 12550 Chhattisgarh 2021-04-24
## 12551 Delhi 2021-04-24
## 12552 Goa 2021-04-24
## 12553 Gujarat 2021-04-24
## 12554 Haryana 2021-04-24
## 12555 Himachal Pradesh 2021-04-24
## 12556 Jammu and Kashmir 2021-04-24
## 12557 Jharkhand 2021-04-24
## 12558 Karnataka 2021-04-24
## 12559 Kerala 2021-04-24
## 12560 Lakshadweep 2021-04-24
## 12561 Madhya Pradesh 2021-04-24
## 12562 Maharashtra 2021-04-24
## 12563 Manipur 2021-04-24
## 12564 Meghalaya 2021-04-24
## 12565 Mizoram 2021-04-24
## 12566 Nagaland 2021-04-24
## 12567 Odisha 2021-04-24
## 12568 Puducherry 2021-04-24
## 12569 Punjab 2021-04-24
## 12570 Rajasthan 2021-04-24
## 12571 Tamil Nadu 2021-04-24
## 12572 Telangana 2021-04-24
## 12573 Tripura 2021-04-24
## 12574 Uttar Pradesh 2021-04-24
## 12575 Uttarakhand 2021-04-24
## 12576 West Bengal 2021-04-24
## 12577 Andaman and Nicobar Islands 2021-04-25
## 12578 Andhra Pradesh 2021-04-25
## 12579 Arunachal Pradesh 2021-04-25
## 12580 Assam 2021-04-25
## 12581 Bihar 2021-04-25
## 12582 Chandigarh 2021-04-25
## 12583 Chhattisgarh 2021-04-25
## 12584 Delhi 2021-04-25
## 12585 Goa 2021-04-25
## 12586 Gujarat 2021-04-25
## 12587 Haryana 2021-04-25
## 12588 Himachal Pradesh 2021-04-25
## 12589 Jammu and Kashmir 2021-04-25
## 12590 Jharkhand 2021-04-25
## 12591 Karnataka 2021-04-25
## 12592 Kerala 2021-04-25
## 12593 Lakshadweep 2021-04-25
## 12594 Madhya Pradesh 2021-04-25
## 12595 Maharashtra 2021-04-25
## 12596 Manipur 2021-04-25
## 12597 Meghalaya 2021-04-25
## 12598 Mizoram 2021-04-25
## 12599 Nagaland 2021-04-25
## 12600 Odisha 2021-04-25
## 12601 Puducherry 2021-04-25
## 12602 Punjab 2021-04-25
## 12603 Rajasthan 2021-04-25
## 12604 Tamil Nadu 2021-04-25
## 12605 Telangana 2021-04-25
## 12606 Tripura 2021-04-25
## 12607 Uttar Pradesh 2021-04-25
## 12608 Uttarakhand 2021-04-25
## 12609 West Bengal 2021-04-25
## 12610 Andaman and Nicobar Islands 2021-04-26
## 12611 Andhra Pradesh 2021-04-26
## 12612 Arunachal Pradesh 2021-04-26
## 12613 Assam 2021-04-26
## 12614 Bihar 2021-04-26
## 12615 Chandigarh 2021-04-26
## 12616 Chhattisgarh 2021-04-26
## 12617 Delhi 2021-04-26
## 12618 Goa 2021-04-26
## 12619 Gujarat 2021-04-26
## 12620 Haryana 2021-04-26
## 12621 Himachal Pradesh 2021-04-26
## 12622 Jammu and Kashmir 2021-04-26
## 12623 Jharkhand 2021-04-26
## 12624 Karnataka 2021-04-26
## 12625 Kerala 2021-04-26
## 12626 Lakshadweep 2021-04-26
## 12627 Madhya Pradesh 2021-04-26
## 12628 Maharashtra 2021-04-26
## 12629 Manipur 2021-04-26
## 12630 Meghalaya 2021-04-26
## 12631 Mizoram 2021-04-26
## 12632 Nagaland 2021-04-26
## 12633 Odisha 2021-04-26
## 12634 Puducherry 2021-04-26
## 12635 Punjab 2021-04-26
## 12636 Rajasthan 2021-04-26
## 12637 Tamil Nadu 2021-04-26
## 12638 Telangana 2021-04-26
## 12639 Tripura 2021-04-26
## 12640 Uttar Pradesh 2021-04-26
## 12641 Uttarakhand 2021-04-26
## 12642 West Bengal 2021-04-26
## 12643 Andaman and Nicobar Islands 2021-04-27
## 12644 Andhra Pradesh 2021-04-27
## 12645 Arunachal Pradesh 2021-04-27
## 12646 Assam 2021-04-27
## 12647 Bihar 2021-04-27
## 12648 Chandigarh 2021-04-27
## 12649 Chhattisgarh 2021-04-27
## 12650 Delhi 2021-04-27
## 12651 Goa 2021-04-27
## 12652 Gujarat 2021-04-27
## 12653 Haryana 2021-04-27
## 12654 Himachal Pradesh 2021-04-27
## 12655 Jammu and Kashmir 2021-04-27
## 12656 Jharkhand 2021-04-27
## 12657 Karnataka 2021-04-27
## 12658 Kerala 2021-04-27
## 12659 Lakshadweep 2021-04-27
## 12660 Madhya Pradesh 2021-04-27
## 12661 Maharashtra 2021-04-27
## 12662 Manipur 2021-04-27
## 12663 Meghalaya 2021-04-27
## 12664 Mizoram 2021-04-27
## 12665 Nagaland 2021-04-27
## 12666 Odisha 2021-04-27
## 12667 Puducherry 2021-04-27
## 12668 Punjab 2021-04-27
## 12669 Rajasthan 2021-04-27
## 12670 Sikkim 2021-04-27
## 12671 Tamil Nadu 2021-04-27
## 12672 Telangana 2021-04-27
## 12673 Tripura 2021-04-27
## 12674 Uttar Pradesh 2021-04-27
## 12675 Uttarakhand 2021-04-27
## 12676 West Bengal 2021-04-27
## 12677 Andaman and Nicobar Islands 2021-04-28
## 12678 Andhra Pradesh 2021-04-28
## 12679 Arunachal Pradesh 2021-04-28
## 12680 Assam 2021-04-28
## 12681 Bihar 2021-04-28
## 12682 Chandigarh 2021-04-28
## 12683 Chhattisgarh 2021-04-28
## 12684 Delhi 2021-04-28
## 12685 Goa 2021-04-28
## 12686 Gujarat 2021-04-28
## 12687 Haryana 2021-04-28
## 12688 Himachal Pradesh 2021-04-28
## 12689 Jammu and Kashmir 2021-04-28
## 12690 Jharkhand 2021-04-28
## 12691 Karnataka 2021-04-28
## 12692 Kerala 2021-04-28
## 12693 Ladakh 2021-04-28
## 12694 Lakshadweep 2021-04-28
## 12695 Madhya Pradesh 2021-04-28
## 12696 Maharashtra 2021-04-28
## 12697 Manipur 2021-04-28
## 12698 Meghalaya 2021-04-28
## 12699 Mizoram 2021-04-28
## 12700 Nagaland 2021-04-28
## 12701 Odisha 2021-04-28
## 12702 Puducherry 2021-04-28
## 12703 Punjab 2021-04-28
## 12704 Rajasthan 2021-04-28
## 12705 Sikkim 2021-04-28
## 12706 Tamil Nadu 2021-04-28
## 12707 Telangana 2021-04-28
## 12708 Tripura 2021-04-28
## 12709 Uttar Pradesh 2021-04-28
## 12710 Uttarakhand 2021-04-28
## 12711 West Bengal 2021-04-28
## 12712 Andaman and Nicobar Islands 2021-04-29
## 12713 Andhra Pradesh 2021-04-29
## 12714 Arunachal Pradesh 2021-04-29
## 12715 Assam 2021-04-29
## 12716 Bihar 2021-04-29
## 12717 Chandigarh 2021-04-29
## 12718 Chhattisgarh 2021-04-29
## 12719 Delhi 2021-04-29
## 12720 Goa 2021-04-29
## 12721 Gujarat 2021-04-29
## 12722 Haryana 2021-04-29
## 12723 Himachal Pradesh 2021-04-29
## 12724 Jammu and Kashmir 2021-04-29
## 12725 Jharkhand 2021-04-29
## 12726 Karnataka 2021-04-29
## 12727 Kerala 2021-04-29
## 12728 Ladakh 2021-04-29
## 12729 Lakshadweep 2021-04-29
## 12730 Madhya Pradesh 2021-04-29
## 12731 Maharashtra 2021-04-29
## 12732 Manipur 2021-04-29
## 12733 Meghalaya 2021-04-29
## 12734 Mizoram 2021-04-29
## 12735 Nagaland 2021-04-29
## 12736 Odisha 2021-04-29
## 12737 Puducherry 2021-04-29
## 12738 Punjab 2021-04-29
## 12739 Rajasthan 2021-04-29
## 12740 Sikkim 2021-04-29
## 12741 Tamil Nadu 2021-04-29
## 12742 Telangana 2021-04-29
## 12743 Tripura 2021-04-29
## 12744 Uttar Pradesh 2021-04-29
## 12745 Uttarakhand 2021-04-29
## 12746 West Bengal 2021-04-29
## 12747 Andaman and Nicobar Islands 2021-04-30
## 12748 Andhra Pradesh 2021-04-30
## 12749 Arunachal Pradesh 2021-04-30
## 12750 Assam 2021-04-30
## 12751 Bihar 2021-04-30
## 12752 Chandigarh 2021-04-30
## 12753 Chhattisgarh 2021-04-30
## 12754 Delhi 2021-04-30
## 12755 Goa 2021-04-30
## 12756 Gujarat 2021-04-30
## 12757 Haryana 2021-04-30
## 12758 Himachal Pradesh 2021-04-30
## 12759 Jammu and Kashmir 2021-04-30
## 12760 Jharkhand 2021-04-30
## 12761 Karnataka 2021-04-30
## 12762 Kerala 2021-04-30
## 12763 Ladakh 2021-04-30
## 12764 Lakshadweep 2021-04-30
## 12765 Madhya Pradesh 2021-04-30
## 12766 Maharashtra 2021-04-30
## 12767 Manipur 2021-04-30
## 12768 Meghalaya 2021-04-30
## 12769 Mizoram 2021-04-30
## 12770 Nagaland 2021-04-30
## 12771 Odisha 2021-04-30
## 12772 Puducherry 2021-04-30
## 12773 Punjab 2021-04-30
## 12774 Rajasthan 2021-04-30
## 12775 Sikkim 2021-04-30
## 12776 Tamil Nadu 2021-04-30
## 12777 Telangana 2021-04-30
## 12778 Tripura 2021-04-30
## 12779 Uttar Pradesh 2021-04-30
## 12780 Uttarakhand 2021-04-30
## 12781 West Bengal 2021-04-30
## 12782 Andaman and Nicobar Islands 2021-05-01
## 12783 Andhra Pradesh 2021-05-01
## 12784 Arunachal Pradesh 2021-05-01
## 12785 Assam 2021-05-01
## 12786 Bihar 2021-05-01
## 12787 Chandigarh 2021-05-01
## 12788 Chhattisgarh 2021-05-01
## 12789 Delhi 2021-05-01
## 12790 Goa 2021-05-01
## 12791 Gujarat 2021-05-01
## 12792 Haryana 2021-05-01
## 12793 Himachal Pradesh 2021-05-01
## 12794 Jammu and Kashmir 2021-05-01
## 12795 Jharkhand 2021-05-01
## 12796 Karnataka 2021-05-01
## 12797 Kerala 2021-05-01
## 12798 Ladakh 2021-05-01
## 12799 Lakshadweep 2021-05-01
## 12800 Madhya Pradesh 2021-05-01
## 12801 Maharashtra 2021-05-01
## 12802 Manipur 2021-05-01
## 12803 Meghalaya 2021-05-01
## 12804 Mizoram 2021-05-01
## 12805 Nagaland 2021-05-01
## 12806 Odisha 2021-05-01
## 12807 Puducherry 2021-05-01
## 12808 Punjab 2021-05-01
## 12809 Rajasthan 2021-05-01
## 12810 Sikkim 2021-05-01
## 12811 Tamil Nadu 2021-05-01
## 12812 Telangana 2021-05-01
## 12813 Tripura 2021-05-01
## 12814 Uttar Pradesh 2021-05-01
## 12815 Uttarakhand 2021-05-01
## 12816 West Bengal 2021-05-01
## 12817 Andaman and Nicobar Islands 2021-05-02
## 12818 Andhra Pradesh 2021-05-02
## 12819 Arunachal Pradesh 2021-05-02
## 12820 Assam 2021-05-02
## 12821 Bihar 2021-05-02
## 12822 Chandigarh 2021-05-02
## 12823 Chhattisgarh 2021-05-02
## 12824 Delhi 2021-05-02
## 12825 Goa 2021-05-02
## 12826 Gujarat 2021-05-02
## 12827 Haryana 2021-05-02
## 12828 Himachal Pradesh 2021-05-02
## 12829 Jammu and Kashmir 2021-05-02
## 12830 Jharkhand 2021-05-02
## 12831 Karnataka 2021-05-02
## 12832 Kerala 2021-05-02
## 12833 Ladakh 2021-05-02
## 12834 Lakshadweep 2021-05-02
## 12835 Madhya Pradesh 2021-05-02
## 12836 Maharashtra 2021-05-02
## 12837 Manipur 2021-05-02
## 12838 Meghalaya 2021-05-02
## 12839 Mizoram 2021-05-02
## 12840 Nagaland 2021-05-02
## 12841 Odisha 2021-05-02
## 12842 Puducherry 2021-05-02
## 12843 Punjab 2021-05-02
## 12844 Rajasthan 2021-05-02
## 12845 Sikkim 2021-05-02
## 12846 Tamil Nadu 2021-05-02
## 12847 Telangana 2021-05-02
## 12848 Tripura 2021-05-02
## 12849 Uttar Pradesh 2021-05-02
## 12850 Uttarakhand 2021-05-02
## 12851 West Bengal 2021-05-02
## 12852 Andaman and Nicobar Islands 2021-05-03
## 12853 Andhra Pradesh 2021-05-03
## 12854 Arunachal Pradesh 2021-05-03
## 12855 Assam 2021-05-03
## 12856 Bihar 2021-05-03
## 12857 Chandigarh 2021-05-03
## 12858 Chhattisgarh 2021-05-03
## 12859 Delhi 2021-05-03
## 12860 Goa 2021-05-03
## 12861 Gujarat 2021-05-03
## 12862 Haryana 2021-05-03
## 12863 Himachal Pradesh 2021-05-03
## 12864 Jammu and Kashmir 2021-05-03
## 12865 Jharkhand 2021-05-03
## 12866 Karnataka 2021-05-03
## 12867 Kerala 2021-05-03
## 12868 Ladakh 2021-05-03
## 12869 Lakshadweep 2021-05-03
## 12870 Madhya Pradesh 2021-05-03
## 12871 Maharashtra 2021-05-03
## 12872 Manipur 2021-05-03
## 12873 Meghalaya 2021-05-03
## 12874 Mizoram 2021-05-03
## 12875 Nagaland 2021-05-03
## 12876 Odisha 2021-05-03
## 12877 Puducherry 2021-05-03
## 12878 Punjab 2021-05-03
## 12879 Rajasthan 2021-05-03
## 12880 Sikkim 2021-05-03
## 12881 Tamil Nadu 2021-05-03
## 12882 Telangana 2021-05-03
## 12883 Tripura 2021-05-03
## 12884 Uttar Pradesh 2021-05-03
## 12885 Uttarakhand 2021-05-03
## 12886 West Bengal 2021-05-03
## 12887 Andaman and Nicobar Islands 2021-05-04
## 12888 Andhra Pradesh 2021-05-04
## 12889 Arunachal Pradesh 2021-05-04
## 12890 Assam 2021-05-04
## 12891 Bihar 2021-05-04
## 12892 Chandigarh 2021-05-04
## 12893 Chhattisgarh 2021-05-04
## 12894 Delhi 2021-05-04
## 12895 Goa 2021-05-04
## 12896 Gujarat 2021-05-04
## 12897 Haryana 2021-05-04
## 12898 Himachal Pradesh 2021-05-04
## 12899 Jammu and Kashmir 2021-05-04
## 12900 Jharkhand 2021-05-04
## 12901 Karnataka 2021-05-04
## 12902 Kerala 2021-05-04
## 12903 Ladakh 2021-05-04
## 12904 Lakshadweep 2021-05-04
## 12905 Madhya Pradesh 2021-05-04
## 12906 Maharashtra 2021-05-04
## 12907 Manipur 2021-05-04
## 12908 Meghalaya 2021-05-04
## 12909 Mizoram 2021-05-04
## 12910 Odisha 2021-05-04
## 12911 Puducherry 2021-05-04
## 12912 Punjab 2021-05-04
## 12913 Rajasthan 2021-05-04
## 12914 Sikkim 2021-05-04
## 12915 Tamil Nadu 2021-05-04
## 12916 Telangana 2021-05-04
## 12917 Tripura 2021-05-04
## 12918 Uttar Pradesh 2021-05-04
## 12919 Uttarakhand 2021-05-04
## 12920 West Bengal 2021-05-04
## 12921 Andaman and Nicobar Islands 2021-05-05
## 12922 Andhra Pradesh 2021-05-05
## 12923 Arunachal Pradesh 2021-05-05
## 12924 Assam 2021-05-05
## 12925 Bihar 2021-05-05
## 12926 Chandigarh 2021-05-05
## 12927 Chhattisgarh 2021-05-05
## 12928 Delhi 2021-05-05
## 12929 Goa 2021-05-05
## 12930 Gujarat 2021-05-05
## 12931 Haryana 2021-05-05
## 12932 Himachal Pradesh 2021-05-05
## 12933 Jammu and Kashmir 2021-05-05
## 12934 Jharkhand 2021-05-05
## 12935 Karnataka 2021-05-05
## 12936 Kerala 2021-05-05
## 12937 Ladakh 2021-05-05
## 12938 Lakshadweep 2021-05-05
## 12939 Madhya Pradesh 2021-05-05
## 12940 Maharashtra 2021-05-05
## 12941 Manipur 2021-05-05
## 12942 Meghalaya 2021-05-05
## 12943 Mizoram 2021-05-05
## 12944 Nagaland 2021-05-05
## 12945 Odisha 2021-05-05
## 12946 Puducherry 2021-05-05
## 12947 Punjab 2021-05-05
## 12948 Rajasthan 2021-05-05
## 12949 Sikkim 2021-05-05
## 12950 Tamil Nadu 2021-05-05
## 12951 Telangana 2021-05-05
## 12952 Tripura 2021-05-05
## 12953 Uttar Pradesh 2021-05-05
## 12954 Uttarakhand 2021-05-05
## 12955 West Bengal 2021-05-05
## 12956 Andaman and Nicobar Islands 2021-05-06
## 12957 Andhra Pradesh 2021-05-06
## 12958 Arunachal Pradesh 2021-05-06
## 12959 Assam 2021-05-06
## 12960 Bihar 2021-05-06
## 12961 Chandigarh 2021-05-06
## 12962 Chhattisgarh 2021-05-06
## 12963 Delhi 2021-05-06
## 12964 Goa 2021-05-06
## 12965 Gujarat 2021-05-06
## 12966 Haryana 2021-05-06
## 12967 Himachal Pradesh 2021-05-06
## 12968 Jammu and Kashmir 2021-05-06
## 12969 Jharkhand 2021-05-06
## 12970 Karnataka 2021-05-06
## 12971 Kerala 2021-05-06
## 12972 Ladakh 2021-05-06
## 12973 Lakshadweep 2021-05-06
## 12974 Madhya Pradesh 2021-05-06
## 12975 Maharashtra 2021-05-06
## 12976 Manipur 2021-05-06
## 12977 Meghalaya 2021-05-06
## 12978 Mizoram 2021-05-06
## 12979 Nagaland 2021-05-06
## 12980 Odisha 2021-05-06
## 12981 Puducherry 2021-05-06
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## 12983 Rajasthan 2021-05-06
## 12984 Sikkim 2021-05-06
## 12985 Tamil Nadu 2021-05-06
## 12986 Telangana 2021-05-06
## 12987 Tripura 2021-05-06
## 12988 Uttar Pradesh 2021-05-06
## 12989 Uttarakhand 2021-05-06
## 12990 West Bengal 2021-05-06
## 12991 Andaman and Nicobar Islands 2021-05-07
## 12992 Andhra Pradesh 2021-05-07
## 12993 Arunachal Pradesh 2021-05-07
## 12994 Assam 2021-05-07
## 12995 Bihar 2021-05-07
## 12996 Chandigarh 2021-05-07
## 12997 Chhattisgarh 2021-05-07
## 12998 Delhi 2021-05-07
## 12999 Goa 2021-05-07
## 13000 Gujarat 2021-05-07
## 13001 Haryana 2021-05-07
## 13002 Himachal Pradesh 2021-05-07
## 13003 Jammu and Kashmir 2021-05-07
## 13004 Jharkhand 2021-05-07
## 13005 Karnataka 2021-05-07
## 13006 Kerala 2021-05-07
## 13007 Ladakh 2021-05-07
## 13008 Lakshadweep 2021-05-07
## 13009 Madhya Pradesh 2021-05-07
## 13010 Maharashtra 2021-05-07
## 13011 Manipur 2021-05-07
## 13012 Meghalaya 2021-05-07
## 13013 Mizoram 2021-05-07
## 13014 Nagaland 2021-05-07
## 13015 Odisha 2021-05-07
## 13016 Puducherry 2021-05-07
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## 13018 Rajasthan 2021-05-07
## 13019 Sikkim 2021-05-07
## 13020 Tamil Nadu 2021-05-07
## 13021 Telangana 2021-05-07
## 13022 Tripura 2021-05-07
## 13023 Uttar Pradesh 2021-05-07
## 13024 Uttarakhand 2021-05-07
## 13025 West Bengal 2021-05-07
## 13026 Andaman and Nicobar Islands 2021-05-08
## 13027 Andhra Pradesh 2021-05-08
## 13028 Arunachal Pradesh 2021-05-08
## 13029 Assam 2021-05-08
## 13030 Bihar 2021-05-08
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## 13034 Goa 2021-05-08
## 13035 Gujarat 2021-05-08
## 13036 Haryana 2021-05-08
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## 13040 Karnataka 2021-05-08
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## 13042 Ladakh 2021-05-08
## 13043 Lakshadweep 2021-05-08
## 13044 Madhya Pradesh 2021-05-08
## 13045 Maharashtra 2021-05-08
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## 13049 Nagaland 2021-05-08
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## 13054 Sikkim 2021-05-08
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## 13056 Telangana 2021-05-08
## 13057 Tripura 2021-05-08
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## 13059 Uttarakhand 2021-05-08
## 13060 West Bengal 2021-05-08
## 13061 Andaman and Nicobar Islands 2021-05-09
## 13062 Andhra Pradesh 2021-05-09
## 13063 Arunachal Pradesh 2021-05-09
## 13064 Assam 2021-05-09
## 13065 Bihar 2021-05-09
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## 13067 Chhattisgarh 2021-05-09
## 13068 Delhi 2021-05-09
## 13069 Goa 2021-05-09
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## 13071 Haryana 2021-05-09
## 13072 Himachal Pradesh 2021-05-09
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## 13077 Ladakh 2021-05-09
## 13078 Lakshadweep 2021-05-09
## 13079 Madhya Pradesh 2021-05-09
## 13080 Maharashtra 2021-05-09
## 13081 Manipur 2021-05-09
## 13082 Meghalaya 2021-05-09
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## 13084 Odisha 2021-05-09
## 13085 Puducherry 2021-05-09
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## 13087 Rajasthan 2021-05-09
## 13088 Sikkim 2021-05-09
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## 13090 Telangana 2021-05-09
## 13091 Tripura 2021-05-09
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## 13093 Uttarakhand 2021-05-09
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## 13095 Andaman and Nicobar Islands 2021-05-10
## 13096 Andhra Pradesh 2021-05-10
## 13097 Arunachal Pradesh 2021-05-10
## 13098 Assam 2021-05-10
## 13099 Bihar 2021-05-10
## 13100 Chandigarh 2021-05-10
## 13101 Chhattisgarh 2021-05-10
## 13102 Delhi 2021-05-10
## 13103 Goa 2021-05-10
## 13104 Gujarat 2021-05-10
## 13105 Haryana 2021-05-10
## 13106 Himachal Pradesh 2021-05-10
## 13107 Jammu and Kashmir 2021-05-10
## 13108 Jharkhand 2021-05-10
## 13109 Karnataka 2021-05-10
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## 13111 Ladakh 2021-05-10
## 13112 Lakshadweep 2021-05-10
## 13113 Madhya Pradesh 2021-05-10
## 13114 Maharashtra 2021-05-10
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## 13118 Nagaland 2021-05-10
## 13119 Odisha 2021-05-10
## 13120 Puducherry 2021-05-10
## 13121 Punjab 2021-05-10
## 13122 Rajasthan 2021-05-10
## 13123 Sikkim 2021-05-10
## 13124 Tamil Nadu 2021-05-10
## 13125 Telangana 2021-05-10
## 13126 Tripura 2021-05-10
## 13127 Uttar Pradesh 2021-05-10
## 13128 Uttarakhand 2021-05-10
## 13129 West Bengal 2021-05-10
## 13130 Andaman and Nicobar Islands 2021-05-11
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## 13132 Arunachal Pradesh 2021-05-11
## 13133 Assam 2021-05-11
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## 13138 Goa 2021-05-11
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## 13140 Haryana 2021-05-11
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## 13720 Assam 2021-05-28
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## 14355 Haryana 2021-06-15
## 14356 Himachal Pradesh 2021-06-15
## 14357 Jammu and Kashmir 2021-06-15
## 14358 Jharkhand 2021-06-15
## 14359 Karnataka 2021-06-15
## 14360 Kerala 2021-06-15
## 14361 Ladakh 2021-06-15
## 14362 Lakshadweep 2021-06-15
## 14363 Madhya Pradesh 2021-06-15
## 14364 Maharashtra 2021-06-15
## 14365 Manipur 2021-06-15
## 14366 Meghalaya 2021-06-15
## 14367 Mizoram 2021-06-15
## 14368 Nagaland 2021-06-15
## 14369 Odisha 2021-06-15
## 14370 Puducherry 2021-06-15
## 14371 Punjab 2021-06-15
## 14372 Rajasthan 2021-06-15
## 14373 Sikkim 2021-06-15
## 14374 Tamil Nadu 2021-06-15
## 14375 Telangana 2021-06-15
## 14376 Tripura 2021-06-15
## 14377 Uttar Pradesh 2021-06-15
## 14378 Uttarakhand 2021-06-15
## 14379 West Bengal 2021-06-15
## 14380 Andaman and Nicobar Islands 2021-06-16
## 14381 Andhra Pradesh 2021-06-16
## 14382 Arunachal Pradesh 2021-06-16
## 14383 Assam 2021-06-16
## 14384 Bihar 2021-06-16
## 14385 Chandigarh 2021-06-16
## 14386 Chhattisgarh 2021-06-16
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## 14388 Goa 2021-06-16
## 14389 Gujarat 2021-06-16
## 14390 Haryana 2021-06-16
## 14391 Himachal Pradesh 2021-06-16
## 14392 Jammu and Kashmir 2021-06-16
## 14393 Jharkhand 2021-06-16
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## 14396 Ladakh 2021-06-16
## 14397 Lakshadweep 2021-06-16
## 14398 Madhya Pradesh 2021-06-16
## 14399 Maharashtra 2021-06-16
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## 14407 Rajasthan 2021-06-16
## 14408 Sikkim 2021-06-16
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## 14410 Telangana 2021-06-16
## 14411 Tripura 2021-06-16
## 14412 Uttar Pradesh 2021-06-16
## 14413 Uttarakhand 2021-06-16
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## 14415 Andaman and Nicobar Islands 2021-06-17
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## 14417 Arunachal Pradesh 2021-06-17
## 14418 Assam 2021-06-17
## 14419 Bihar 2021-06-17
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## 14423 Goa 2021-06-17
## 14424 Gujarat 2021-06-17
## 14425 Haryana 2021-06-17
## 14426 Himachal Pradesh 2021-06-17
## 14427 Jammu and Kashmir 2021-06-17
## 14428 Jharkhand 2021-06-17
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## 14431 Ladakh 2021-06-17
## 14432 Lakshadweep 2021-06-17
## 14433 Madhya Pradesh 2021-06-17
## 14434 Maharashtra 2021-06-17
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## 14446 Tripura 2021-06-17
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## 14448 Uttarakhand 2021-06-17
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## 14450 Andaman and Nicobar Islands 2021-06-18
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## 14452 Arunachal Pradesh 2021-06-18
## 14453 Assam 2021-06-18
## 14454 Bihar 2021-06-18
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## 14456 Chhattisgarh 2021-06-18
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## 14458 Goa 2021-06-18
## 14459 Gujarat 2021-06-18
## 14460 Haryana 2021-06-18
## 14461 Himachal Pradesh 2021-06-18
## 14462 Jammu and Kashmir 2021-06-18
## 14463 Jharkhand 2021-06-18
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## 14467 Lakshadweep 2021-06-18
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## 14481 Tripura 2021-06-18
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## 14487 Arunachal Pradesh 2021-06-19
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## 14493 Goa 2021-06-19
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## 14495 Haryana 2021-06-19
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## 14502 Lakshadweep 2021-06-19
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## 14515 Telangana 2021-06-19
## 14516 Tripura 2021-06-19
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## 14518 Uttarakhand 2021-06-19
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## 14530 Haryana 2021-06-20
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## 14551 Tripura 2021-06-20
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## 14592 Arunachal Pradesh 2021-06-22
## 14593 Assam 2021-06-22
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## 14598 Goa 2021-06-22
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## 14600 Haryana 2021-06-22
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## 14625 Andaman and Nicobar Islands 2021-06-23
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## 14628 Assam 2021-06-23
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## 14635 Haryana 2021-06-23
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## 14656 Tripura 2021-06-23
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## 14662 Arunachal Pradesh 2021-06-24
## 14663 Assam 2021-06-24
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## 14668 Goa 2021-06-24
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## 14670 Haryana 2021-06-24
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## 14673 Jharkhand 2021-06-24
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## 14676 Ladakh 2021-06-24
## 14677 Lakshadweep 2021-06-24
## 14678 Madhya Pradesh 2021-06-24
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## 14690 Telangana 2021-06-24
## 14691 Tripura 2021-06-24
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## 14693 Uttarakhand 2021-06-24
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## 14695 Andaman and Nicobar Islands 2021-06-25
## 14696 Andhra Pradesh 2021-06-25
## 14697 Arunachal Pradesh 2021-06-25
## 14698 Assam 2021-06-25
## 14699 Bihar 2021-06-25
## 14700 Chandigarh 2021-06-25
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## 14703 Goa 2021-06-25
## 14704 Gujarat 2021-06-25
## 14705 Haryana 2021-06-25
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## 14708 Jharkhand 2021-06-25
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## 14713 Madhya Pradesh 2021-06-25
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## 14730 Andaman and Nicobar Islands 2021-06-26
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## 14796 Tripura 2021-06-27
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## 14802 Arunachal Pradesh 2021-06-28
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## 14810 Haryana 2021-06-28
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## 14835 Andaman and Nicobar Islands 2021-06-29
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## 14837 Arunachal Pradesh 2021-06-29
## 14838 Assam 2021-06-29
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## 14942 Arunachal Pradesh 2021-07-02
## 14943 Assam 2021-07-02
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## 14975 Andaman and Nicobar Islands 2021-07-03
## 14976 Andhra Pradesh 2021-07-03
## 14977 Arunachal Pradesh 2021-07-03
## 14978 Assam 2021-07-03
## 14979 Bihar 2021-07-03
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## 16227 Tamil Nadu 2021-08-07
## 16228 Telangana 2021-08-07
## 16229 Tripura 2021-08-07
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## 16231 Uttarakhand 2021-08-07
## 16232 West Bengal 2021-08-07
## 16233 Andaman and Nicobar Islands 2021-08-08
## 16234 Andhra Pradesh 2021-08-08
## 16235 Arunachal Pradesh 2021-08-08
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## 16335 16162814aggregate(testing$Positive ~ testing$State + testing$Date, FUN = mean)## testing$State testing$Date testing$Positive
## 1 Delhi 2020-04-01 0
## 2 Kerala 2020-04-01 265
## 3 West Bengal 2020-04-01 37
## 4 Andhra Pradesh 2020-04-02 132
## 5 Assam 2020-04-02 16
## 6 Chandigarh 2020-04-02 18
## 7 Chhattisgarh 2020-04-02 9
## 8 Goa 2020-04-02 5
## 9 Kerala 2020-04-02 286
## 10 Punjab 2020-04-02 37
## 11 Uttarakhand 2020-04-02 7
## 12 Haryana 2020-04-03 44
## 13 Karnataka 2020-04-03 128
## 14 Kerala 2020-04-03 295
## 15 Odisha 2020-04-03 20
## 16 Tamil Nadu 2020-04-03 411
## 17 Kerala 2020-04-04 306
## 18 West Bengal 2020-04-04 0
## 19 Bihar 2020-04-05 32
## 20 Jammu and Kashmir 2020-04-05 106
## 21 Kerala 2020-04-05 314
## 22 Madhya Pradesh 2020-04-05 193
## 23 Maharashtra 2020-04-05 0
## 24 Uttar Pradesh 2020-04-05 278
## 25 Kerala 2020-04-06 327
## 26 Maharashtra 2020-04-06 868
## 27 Mizoram 2020-04-06 1
## 28 Nagaland 2020-04-06 0
## 29 West Bengal 2020-04-06 0
## 30 Delhi 2020-04-07 576
## 31 Haryana 2020-04-07 141
## 32 Karnataka 2020-04-07 175
## 33 Kerala 2020-04-07 336
## 34 Madhya Pradesh 2020-04-07 290
## 35 Maharashtra 2020-04-07 1018
## 36 Mizoram 2020-04-07 1
## 37 Odisha 2020-04-07 42
## 38 Rajasthan 2020-04-07 363
## 39 Uttarakhand 2020-04-07 32
## 40 West Bengal 2020-04-07 0
## 41 Bihar 2020-04-08 38
## 42 Chandigarh 2020-04-08 18
## 43 Gujarat 2020-04-08 186
## 44 Haryana 2020-04-08 153
## 45 Karnataka 2020-04-08 181
## 46 Kerala 2020-04-08 354
## 47 Madhya Pradesh 2020-04-08 341
## 48 Mizoram 2020-04-08 1
## 49 Odisha 2020-04-08 42
## 50 Punjab 2020-04-08 106
## 51 Rajasthan 2020-04-08 363
## 52 Tamil Nadu 2020-04-08 690
## 53 Arunachal Pradesh 2020-04-09 1
## 54 Bihar 2020-04-09 43
## 55 Dadra and Nagar Haveli and Daman and Diu 2020-04-09 0
## 56 Delhi 2020-04-09 720
## 57 Goa 2020-04-09 7
## 58 Haryana 2020-04-09 156
## 59 Karnataka 2020-04-09 197
## 60 Kerala 2020-04-09 357
## 61 Madhya Pradesh 2020-04-09 411
## 62 Maharashtra 2020-04-09 868
## 63 Mizoram 2020-04-09 1
## 64 Odisha 2020-04-09 48
## 65 Punjab 2020-04-09 130
## 66 Rajasthan 2020-04-09 463
## 67 Tamil Nadu 2020-04-09 834
## 68 Uttar Pradesh 2020-04-09 410
## 69 Uttarakhand 2020-04-09 35
## 70 West Bengal 2020-04-09 0
## 71 Andhra Pradesh 2020-04-10 365
## 72 Assam 2020-04-10 29
## 73 Bihar 2020-04-10 60
## 74 Chandigarh 2020-04-10 19
## 75 Chhattisgarh 2020-04-10 18
## 76 Dadra and Nagar Haveli and Daman and Diu 2020-04-10 0
## 77 Delhi 2020-04-10 903
## 78 Goa 2020-04-10 7
## 79 Gujarat 2020-04-10 378
## 80 Haryana 2020-04-10 162
## 81 Himachal Pradesh 2020-04-10 30
## 82 Jammu and Kashmir 2020-04-10 207
## 83 Jharkhand 2020-04-10 14
## 84 Karnataka 2020-04-10 207
## 85 Kerala 2020-04-10 364
## 86 Madhya Pradesh 2020-04-10 451
## 87 Maharashtra 2020-04-10 1135
## 88 Nagaland 2020-04-10 0
## 89 Odisha 2020-04-10 50
## 90 Punjab 2020-04-10 151
## 91 Rajasthan 2020-04-10 561
## 92 Tamil Nadu 2020-04-10 911
## 93 Uttar Pradesh 2020-04-10 433
## 94 Uttarakhand 2020-04-10 35
## 95 West Bengal 2020-04-10 0
## 96 Andhra Pradesh 2020-04-11 381
## 97 Assam 2020-04-11 29
## 98 Bihar 2020-04-11 61
## 99 Chandigarh 2020-04-11 19
## 100 Chhattisgarh 2020-04-11 18
## 101 Dadra and Nagar Haveli and Daman and Diu 2020-04-11 0
## 102 Delhi 2020-04-11 1069
## 103 Gujarat 2020-04-11 468
## 104 Haryana 2020-04-11 165
## 105 Himachal Pradesh 2020-04-11 30
## 106 Jammu and Kashmir 2020-04-11 224
## 107 Jharkhand 2020-04-11 17
## 108 Karnataka 2020-04-11 215
## 109 Kerala 2020-04-11 373
## 110 Madhya Pradesh 2020-04-11 529
## 111 Maharashtra 2020-04-11 1761
## 112 Nagaland 2020-04-11 0
## 113 Odisha 2020-04-11 51
## 114 Punjab 2020-04-11 158
## 115 Rajasthan 2020-04-11 678
## 116 Tamil Nadu 2020-04-11 969
## 117 Tripura 2020-04-11 2
## 118 Uttar Pradesh 2020-04-11 452
## 119 Uttarakhand 2020-04-11 35
## 120 West Bengal 2020-04-11 126
## 121 Andhra Pradesh 2020-04-12 405
## 122 Assam 2020-04-12 29
## 123 Bihar 2020-04-12 64
## 124 Chandigarh 2020-04-12 21
## 125 Chhattisgarh 2020-04-12 31
## 126 Delhi 2020-04-12 1154
## 127 Goa 2020-04-12 7
## 128 Gujarat 2020-04-12 516
## 129 Haryana 2020-04-12 181
## 130 Himachal Pradesh 2020-04-12 32
## 131 Jammu and Kashmir 2020-04-12 245
## 132 Jharkhand 2020-04-12 17
## 133 Karnataka 2020-04-12 232
## 134 Kerala 2020-04-12 375
## 135 Madhya Pradesh 2020-04-12 562
## 136 Maharashtra 2020-04-12 1761
## 137 Mizoram 2020-04-12 1
## 138 Nagaland 2020-04-12 0
## 139 Odisha 2020-04-12 54
## 140 Punjab 2020-04-12 170
## 141 Rajasthan 2020-04-12 796
## 142 Tamil Nadu 2020-04-12 1075
## 143 Uttar Pradesh 2020-04-12 483
## 144 Uttarakhand 2020-04-12 35
## 145 West Bengal 2020-04-12 134
## 146 Andhra Pradesh 2020-04-13 432
## 147 Bihar 2020-04-13 65
## 148 Chandigarh 2020-04-13 21
## 149 Chhattisgarh 2020-04-13 31
## 150 Delhi 2020-04-13 1510
## 151 Goa 2020-04-13 7
## 152 Gujarat 2020-04-13 572
## 153 Haryana 2020-04-13 182
## 154 Himachal Pradesh 2020-04-13 32
## 155 Jammu and Kashmir 2020-04-13 270
## 156 Jharkhand 2020-04-13 19
## 157 Karnataka 2020-04-13 247
## 158 Kerala 2020-04-13 378
## 159 Ladakh 2020-04-13 17
## 160 Madhya Pradesh 2020-04-13 614
## 161 Maharashtra 2020-04-13 1996
## 162 Mizoram 2020-04-13 1
## 163 Odisha 2020-04-13 54
## 164 Punjab 2020-04-13 176
## 165 Rajasthan 2020-04-13 847
## 166 Tamil Nadu 2020-04-13 1173
## 167 Uttar Pradesh 2020-04-13 558
## 168 Uttarakhand 2020-04-13 35
## 169 West Bengal 2020-04-13 152
## 170 Andhra Pradesh 2020-04-14 473
## 171 Arunachal Pradesh 2020-04-14 1
## 172 Assam 2020-04-14 31
## 173 Bihar 2020-04-14 62
## 174 Chandigarh 2020-04-14 21
## 175 Chhattisgarh 2020-04-14 33
## 176 Delhi 2020-04-14 1561
## 177 Goa 2020-04-14 7
## 178 Gujarat 2020-04-14 617
## 179 Haryana 2020-04-14 184
## 180 Himachal Pradesh 2020-04-14 32
## 181 Jammu and Kashmir 2020-04-14 278
## 182 Jharkhand 2020-04-14 27
## 183 Karnataka 2020-04-14 260
## 184 Kerala 2020-04-14 386
## 185 Ladakh 2020-04-14 17
## 186 Madhya Pradesh 2020-04-14 741
## 187 Maharashtra 2020-04-14 2340
## 188 Manipur 2020-04-14 2
## 189 Mizoram 2020-04-14 1
## 190 Nagaland 2020-04-14 0
## 191 Odisha 2020-04-14 56
## 192 Punjab 2020-04-14 184
## 193 Rajasthan 2020-04-14 1005
## 194 Tamil Nadu 2020-04-14 1204
## 195 Uttar Pradesh 2020-04-14 660
## 196 Uttarakhand 2020-04-14 35
## 197 West Bengal 2020-04-14 190
## 198 Andhra Pradesh 2020-04-15 525
## 199 Assam 2020-04-15 32
## 200 Bihar 2020-04-15 66
## 201 Chandigarh 2020-04-15 21
## 202 Chhattisgarh 2020-04-15 33
## 203 Dadra and Nagar Haveli and Daman and Diu 2020-04-15 0
## 204 Delhi 2020-04-15 1578
## 205 Goa 2020-04-15 7
## 206 Gujarat 2020-04-15 766
## 207 Haryana 2020-04-15 190
## 208 Himachal Pradesh 2020-04-15 35
## 209 Jammu and Kashmir 2020-04-15 300
## 210 Karnataka 2020-04-15 279
## 211 Kerala 2020-04-15 387
## 212 Ladakh 2020-04-15 18
## 213 Madhya Pradesh 2020-04-15 938
## 214 Maharashtra 2020-04-15 2690
## 215 Mizoram 2020-04-15 1
## 216 Nagaland 2020-04-15 0
## 217 Odisha 2020-04-15 60
## 218 Punjab 2020-04-15 186
## 219 Rajasthan 2020-04-15 1076
## 220 Tamil Nadu 2020-04-15 1242
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## 1371 Himachal Pradesh 2020-05-24 203
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## 1374 Karnataka 2020-05-24 2089
## 1375 Kerala 2020-05-24 848
## 1376 Ladakh 2020-05-24 52
## 1377 Madhya Pradesh 2020-05-24 6665
## 1378 Maharashtra 2020-05-24 47190
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## 1384 Rajasthan 2020-05-24 7028
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## 1389 Uttarakhand 2020-05-24 293
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## 1393 Arunachal Pradesh 2020-05-25 2
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## 1436 Jharkhand 2020-05-26 426
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## 1453 Uttarakhand 2020-05-26 400
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## 1484 Uttarakhand 2020-05-27 438
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## 1499 Jharkhand 2020-05-28 469
## 1500 Karnataka 2020-05-28 2533
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## 1502 Madhya Pradesh 2020-05-28 7453
## 1503 Maharashtra 2020-05-28 56948
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## 1515 Uttarakhand 2020-05-28 493
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## 1517 Andaman and Nicobar Islands 2020-05-29 33
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## 1531 Jharkhand 2020-05-29 521
## 1532 Karnataka 2020-05-29 2781
## 1533 Kerala 2020-05-29 1151
## 1534 Madhya Pradesh 2020-05-29 7645
## 1535 Maharashtra 2020-05-29 59546
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## 1542 Rajasthan 2020-05-29 8365
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## 1545 Tripura 2020-05-29 244
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## 1547 Uttarakhand 2020-05-29 602
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## 1549 Andaman and Nicobar Islands 2020-05-30 33
## 1550 Andhra Pradesh 2020-05-30 2944
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## 1557 Goa 2020-05-30 70
## 1558 Gujarat 2020-05-30 16356
## 1559 Haryana 2020-05-30 1923
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## 1561 Jammu and Kashmir 2020-05-30 2341
## 1562 Jharkhand 2020-05-30 563
## 1563 Karnataka 2020-05-30 2922
## 1564 Kerala 2020-05-30 1209
## 1565 Ladakh 2020-05-30 74
## 1566 Madhya Pradesh 2020-05-30 7891
## 1567 Maharashtra 2020-05-30 62228
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## 1578 Uttarakhand 2020-05-30 727
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## 1580 Andaman and Nicobar Islands 2020-05-31 33
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## 1590 Haryana 2020-05-31 2091
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## 1592 Jammu and Kashmir 2020-05-31 2446
## 1593 Jharkhand 2020-05-31 610
## 1594 Karnataka 2020-05-31 3221
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## 1612 Andaman and Nicobar Islands 2020-06-01 33
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## 1627 Kerala 2020-06-01 1327
## 1628 Madhya Pradesh 2020-06-01 8283
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## 1639 Tripura 2020-06-01 423
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## 1643 Andaman and Nicobar Islands 2020-06-02 33
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## 1645 Arunachal Pradesh 2020-06-02 28
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## 1673 Uttarakhand 2020-06-02 999
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## 1822 Kerala 2020-06-07 1915
## 1823 Madhya Pradesh 2020-06-07 9401
## 1824 Maharashtra 2020-06-07 82968
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## 1836 Uttarakhand 2020-06-07 1341
## 1837 West Bengal 2020-06-07 8187
## 1838 Andaman and Nicobar Islands 2020-06-08 33
## 1839 Andhra Pradesh 2020-06-08 3843
## 1840 Arunachal Pradesh 2020-06-08 57
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## 1842 Chandigarh 2020-06-08 318
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## 1846 Goa 2020-06-08 330
## 1847 Gujarat 2020-06-08 20574
## 1848 Haryana 2020-06-08 4854
## 1849 Himachal Pradesh 2020-06-08 421
## 1850 Jammu and Kashmir 2020-06-08 4285
## 1851 Jharkhand 2020-06-08 1290
## 1852 Karnataka 2020-06-08 5760
## 1853 Kerala 2020-06-08 2006
## 1854 Madhya Pradesh 2020-06-08 9638
## 1855 Maharashtra 2020-06-08 85975
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## 1857 Mizoram 2020-06-08 42
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## 1859 Odisha 2020-06-08 2994
## 1860 Puducherry 2020-06-08 139
## 1861 Punjab 2020-06-08 2663
## 1862 Rajasthan 2020-06-08 10876
## 1863 Sikkim 2020-06-08 6
## 1864 Tamil Nadu 2020-06-08 33229
## 1865 Tripura 2020-06-08 840
## 1866 Uttar Pradesh 2020-06-08 10947
## 1867 Uttarakhand 2020-06-08 1380
## 1868 West Bengal 2020-06-08 8613
## 1869 Andaman and Nicobar Islands 2020-06-09 33
## 1870 Andhra Pradesh 2020-06-09 3990
## 1871 Arunachal Pradesh 2020-06-09 57
## 1872 Assam 2020-06-09 2937
## 1873 Bihar 2020-06-09 5364
## 1874 Chhattisgarh 2020-06-09 1211
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## 1877 Gujarat 2020-06-09 21044
## 1878 Haryana 2020-06-09 5209
## 1879 Himachal Pradesh 2020-06-09 437
## 1880 Jammu and Kashmir 2020-06-09 4346
## 1881 Jharkhand 2020-06-09 1416
## 1882 Karnataka 2020-06-09 5921
## 1883 Kerala 2020-06-09 2097
## 1884 Ladakh 2020-06-09 108
## 1885 Madhya Pradesh 2020-06-09 9849
## 1886 Maharashtra 2020-06-09 88528
## 1887 Manipur 2020-06-09 304
## 1888 Meghalaya 2020-06-09 40
## 1889 Mizoram 2020-06-09 88
## 1890 Nagaland 2020-06-09 127
## 1891 Odisha 2020-06-09 3140
## 1892 Puducherry 2020-06-09 143
## 1893 Punjab 2020-06-09 2719
## 1894 Rajasthan 2020-06-09 11245
## 1895 Sikkim 2020-06-09 12
## 1896 Tamil Nadu 2020-06-09 34914
## 1897 Tripura 2020-06-09 866
## 1898 Uttar Pradesh 2020-06-09 11335
## 1899 Uttarakhand 2020-06-09 1488
## 1900 West Bengal 2020-06-09 8985
## 1901 Andaman and Nicobar Islands 2020-06-10 35
## 1902 Andhra Pradesh 2020-06-10 4126
## 1903 Arunachal Pradesh 2020-06-10 61
## 1904 Bihar 2020-06-10 5583
## 1905 Chandigarh 2020-06-10 328
## 1906 Chhattisgarh 2020-06-10 1262
## 1907 Dadra and Nagar Haveli and Daman and Diu 2020-06-10 27
## 1908 Delhi 2020-06-10 32810
## 1909 Goa 2020-06-10 387
## 1910 Gujarat 2020-06-10 21554
## 1911 Haryana 2020-06-10 5438
## 1912 Himachal Pradesh 2020-06-10 451
## 1913 Jammu and Kashmir 2020-06-10 4507
## 1914 Jharkhand 2020-06-10 1423
## 1915 Karnataka 2020-06-10 6041
## 1916 Kerala 2020-06-10 2162
## 1917 Madhya Pradesh 2020-06-10 10049
## 1918 Maharashtra 2020-06-10 90787
## 1919 Manipur 2020-06-10 311
## 1920 Meghalaya 2020-06-10 44
## 1921 Mizoram 2020-06-10 102
## 1922 Nagaland 2020-06-10 128
## 1923 Odisha 2020-06-10 3250
## 1924 Puducherry 2020-06-10 156
## 1925 Punjab 2020-06-10 2805
## 1926 Rajasthan 2020-06-10 11600
## 1927 Sikkim 2020-06-10 12
## 1928 Tamil Nadu 2020-06-10 36841
## 1929 Tripura 2020-06-10 897
## 1930 Uttar Pradesh 2020-06-10 11610
## 1931 Uttarakhand 2020-06-10 1560
## 1932 West Bengal 2020-06-10 9328
## 1933 Andaman and Nicobar Islands 2020-06-11 38
## 1934 Andhra Pradesh 2020-06-11 4261
## 1935 Arunachal Pradesh 2020-06-11 67
## 1936 Assam 2020-06-11 3319
## 1937 Bihar 2020-06-11 5807
## 1938 Chandigarh 2020-06-11 332
## 1939 Chhattisgarh 2020-06-11 1398
## 1940 Delhi 2020-06-11 34687
## 1941 Goa 2020-06-11 417
## 1942 Gujarat 2020-06-11 22067
## 1943 Haryana 2020-06-11 5968
## 1944 Himachal Pradesh 2020-06-11 470
## 1945 Jammu and Kashmir 2020-06-11 4574
## 1946 Jharkhand 2020-06-11 1599
## 1947 Karnataka 2020-06-11 6245
## 1948 Kerala 2020-06-11 2245
## 1949 Ladakh 2020-06-11 135
## 1950 Madhya Pradesh 2020-06-11 10241
## 1951 Maharashtra 2020-06-11 94041
## 1952 Manipur 2020-06-11 366
## 1953 Meghalaya 2020-06-11 44
## 1954 Mizoram 2020-06-11 104
## 1955 Nagaland 2020-06-11 130
## 1956 Odisha 2020-06-11 3386
## 1957 Puducherry 2020-06-11 168
## 1958 Punjab 2020-06-11 2887
## 1959 Rajasthan 2020-06-11 11838
## 1960 Sikkim 2020-06-11 12
## 1961 Tamil Nadu 2020-06-11 38716
## 1962 Tripura 2020-06-11 915
## 1963 Uttar Pradesh 2020-06-11 12088
## 1964 Uttarakhand 2020-06-11 1637
## 1965 West Bengal 2020-06-11 9768
## 1966 Andaman and Nicobar Islands 2020-06-12 38
## 1967 Andhra Pradesh 2020-06-12 4402
## 1968 Arunachal Pradesh 2020-06-12 87
## 1969 Assam 2020-06-12 3498
## 1970 Bihar 2020-06-12 6043
## 1971 Chandigarh 2020-06-12 334
## 1972 Chhattisgarh 2020-06-12 1429
## 1973 Delhi 2020-06-12 36824
## 1974 Goa 2020-06-12 463
## 1975 Gujarat 2020-06-12 22562
## 1976 Haryana 2020-06-12 6334
## 1977 Himachal Pradesh 2020-06-12 486
## 1978 Jammu and Kashmir 2020-06-12 4730
## 1979 Jharkhand 2020-06-12 1656
## 1980 Karnataka 2020-06-12 6516
## 1981 Kerala 2020-06-12 2323
## 1982 Ladakh 2020-06-12 239
## 1983 Madhya Pradesh 2020-06-12 10443
## 1984 Maharashtra 2020-06-12 97648
## 1985 Meghalaya 2020-06-12 44
## 1986 Nagaland 2020-06-12 156
## 1987 Odisha 2020-06-12 3477
## 1988 Puducherry 2020-06-12 175
## 1989 Punjab 2020-06-12 2986
## 1990 Rajasthan 2020-06-12 12068
## 1991 Sikkim 2020-06-12 26
## 1992 Tamil Nadu 2020-06-12 40698
## 1993 Tripura 2020-06-12 960
## 1994 Uttar Pradesh 2020-06-12 12619
## 1995 Uttarakhand 2020-06-12 1692
## 1996 West Bengal 2020-06-12 10244
## 1997 Andaman and Nicobar Islands 2020-06-13 38
## 1998 Andhra Pradesh 2020-06-13 4588
## 1999 Arunachal Pradesh 2020-06-13 88
## 2000 Bihar 2020-06-13 6183
## 2001 Chandigarh 2020-06-13 345
## 2002 Chhattisgarh 2020-06-13 1512
## 2003 Dadra and Nagar Haveli and Daman and Diu 2020-06-13 28
## 2004 Delhi 2020-06-13 38958
## 2005 Goa 2020-06-13 523
## 2006 Gujarat 2020-06-13 23079
## 2007 Haryana 2020-06-13 6749
## 2008 Himachal Pradesh 2020-06-13 493
## 2009 Jammu and Kashmir 2020-06-13 4878
## 2010 Jharkhand 2020-06-13 1711
## 2011 Karnataka 2020-06-13 6824
## 2012 Kerala 2020-06-13 2408
## 2013 Ladakh 2020-06-13 437
## 2014 Madhya Pradesh 2020-06-13 10641
## 2015 Maharashtra 2020-06-13 101141
## 2016 Manipur 2020-06-13 449
## 2017 Meghalaya 2020-06-13 44
## 2018 Mizoram 2020-06-13 107
## 2019 Nagaland 2020-06-13 163
## 2020 Odisha 2020-06-13 3723
## 2021 Puducherry 2020-06-13 193
## 2022 Punjab 2020-06-13 3063
## 2023 Rajasthan 2020-06-13 12401
## 2024 Sikkim 2020-06-13 62
## 2025 Tamil Nadu 2020-06-13 42687
## 2026 Tripura 2020-06-13 1042
## 2027 Uttar Pradesh 2020-06-13 13118
## 2028 Uttarakhand 2020-06-13 1759
## 2029 West Bengal 2020-06-13 10698
## 2030 Andaman and Nicobar Islands 2020-06-14 38
## 2031 Andhra Pradesh 2020-06-14 4841
## 2032 Bihar 2020-06-14 6355
## 2033 Chandigarh 2020-06-14 350
## 2034 Chhattisgarh 2020-06-14 1549
## 2035 Dadra and Nagar Haveli and Daman and Diu 2020-06-14 31
## 2036 Delhi 2020-06-14 41182
## 2037 Goa 2020-06-14 564
## 2038 Gujarat 2020-06-14 23590
## 2039 Haryana 2020-06-14 7208
## 2040 Himachal Pradesh 2020-06-14 518
## 2041 Jammu and Kashmir 2020-06-14 5041
## 2042 Jharkhand 2020-06-14 1761
## 2043 Karnataka 2020-06-14 7000
## 2044 Kerala 2020-06-14 2462
## 2045 Ladakh 2020-06-14 539
## 2046 Madhya Pradesh 2020-06-14 10802
## 2047 Maharashtra 2020-06-14 104568
## 2048 Manipur 2020-06-14 458
## 2049 Mizoram 2020-06-14 112
## 2050 Nagaland 2020-06-14 168
## 2051 Odisha 2020-06-14 3909
## 2052 Puducherry 2020-06-14 206
## 2053 Punjab 2020-06-14 3140
## 2054 Rajasthan 2020-06-14 12694
## 2055 Sikkim 2020-06-14 67
## 2056 Tamil Nadu 2020-06-14 44661
## 2057 Tripura 2020-06-14 1075
## 2058 Uttar Pradesh 2020-06-14 13615
## 2059 Uttarakhand 2020-06-14 1816
## 2060 West Bengal 2020-06-14 11087
## 2061 Andaman and Nicobar Islands 2020-06-15 41
## 2062 Andhra Pradesh 2020-06-15 5087
## 2063 Arunachal Pradesh 2020-06-15 95
## 2064 Assam 2020-06-15 4158
## 2065 Bihar 2020-06-15 6581
## 2066 Chandigarh 2020-06-15 357
## 2067 Chhattisgarh 2020-06-15 1715
## 2068 Dadra and Nagar Haveli and Daman and Diu 2020-06-15 38
## 2069 Delhi 2020-06-15 42829
## 2070 Goa 2020-06-15 592
## 2071 Gujarat 2020-06-15 24104
## 2072 Haryana 2020-06-15 7722
## 2073 Himachal Pradesh 2020-06-15 556
## 2074 Jammu and Kashmir 2020-06-15 5220
## 2075 Jharkhand 2020-06-15 1793
## 2076 Karnataka 2020-06-15 7213
## 2077 Kerala 2020-06-15 2544
## 2078 Ladakh 2020-06-15 555
## 2079 Madhya Pradesh 2020-06-15 10935
## 2080 Maharashtra 2020-06-15 107958
## 2081 Manipur 2020-06-15 490
## 2082 Meghalaya 2020-06-15 44
## 2083 Mizoram 2020-06-15 117
## 2084 Nagaland 2020-06-15 177
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## 2086 Puducherry 2020-06-15 214
## 2087 Punjab 2020-06-15 3267
## 2088 Rajasthan 2020-06-15 12981
## 2089 Sikkim 2020-06-15 68
## 2090 Tamil Nadu 2020-06-15 46504
## 2091 Tripura 2020-06-15 1084
## 2092 Uttar Pradesh 2020-06-15 14091
## 2093 Uttarakhand 2020-06-15 1836
## 2094 West Bengal 2020-06-15 11494
## 2095 Andaman and Nicobar Islands 2020-06-16 44
## 2096 Andhra Pradesh 2020-06-16 5280
## 2097 Arunachal Pradesh 2020-06-16 99
## 2098 Assam 2020-06-16 4319
## 2099 Bihar 2020-06-16 6736
## 2100 Chandigarh 2020-06-16 358
## 2101 Chhattisgarh 2020-06-16 1784
## 2102 Dadra and Nagar Haveli and Daman and Diu 2020-06-16 51
## 2103 Delhi 2020-06-16 44688
## 2104 Goa 2020-06-16 629
## 2105 Gujarat 2020-06-16 24628
## 2106 Haryana 2020-06-16 8272
## 2107 Himachal Pradesh 2020-06-16 560
## 2108 Jammu and Kashmir 2020-06-16 5298
## 2109 Jharkhand 2020-06-16 1839
## 2110 Karnataka 2020-06-16 7530
## 2111 Kerala 2020-06-16 2623
## 2112 Ladakh 2020-06-16 649
## 2113 Madhya Pradesh 2020-06-16 11083
## 2114 Maharashtra 2020-06-16 110744
## 2115 Meghalaya 2020-06-16 44
## 2116 Mizoram 2020-06-16 121
## 2117 Nagaland 2020-06-16 179
## 2118 Odisha 2020-06-16 4163
## 2119 Puducherry 2020-06-16 233
## 2120 Punjab 2020-06-16 3371
## 2121 Rajasthan 2020-06-16 13216
## 2122 Sikkim 2020-06-16 68
## 2123 Tamil Nadu 2020-06-16 48019
## 2124 Telangana 2020-06-16 5406
## 2125 Tripura 2020-06-16 1090
## 2126 Uttar Pradesh 2020-06-16 14598
## 2127 Uttarakhand 2020-06-16 1912
## 2128 West Bengal 2020-06-16 11909
## 2129 Andaman and Nicobar Islands 2020-06-17 44
## 2130 Andhra Pradesh 2020-06-17 5555
## 2131 Arunachal Pradesh 2020-06-17 103
## 2132 Assam 2020-06-17 4605
## 2133 Bihar 2020-06-17 6889
## 2134 Chandigarh 2020-06-17 368
## 2135 Chhattisgarh 2020-06-17 1864
## 2136 Dadra and Nagar Haveli and Daman and Diu 2020-06-17 58
## 2137 Delhi 2020-06-17 47102
## 2138 Goa 2020-06-17 656
## 2139 Gujarat 2020-06-17 25148
## 2140 Haryana 2020-06-17 8832
## 2141 Himachal Pradesh 2020-06-17 585
## 2142 Jammu and Kashmir 2020-06-17 5406
## 2143 Jharkhand 2020-06-17 1895
## 2144 Karnataka 2020-06-17 7734
## 2145 Kerala 2020-06-17 2698
## 2146 Ladakh 2020-06-17 687
## 2147 Madhya Pradesh 2020-06-17 11244
## 2148 Manipur 2020-06-17 552
## 2149 Meghalaya 2020-06-17 43
## 2150 Mizoram 2020-06-17 121
## 2151 Nagaland 2020-06-17 193
## 2152 Odisha 2020-06-17 4338
## 2153 Puducherry 2020-06-17 257
## 2154 Punjab 2020-06-17 3497
## 2155 Rajasthan 2020-06-17 13542
## 2156 Sikkim 2020-06-17 70
## 2157 Tamil Nadu 2020-06-17 50193
## 2158 Telangana 2020-06-17 5675
## 2159 Tripura 2020-06-17 1133
## 2160 Uttar Pradesh 2020-06-17 15181
## 2161 Uttarakhand 2020-06-17 1985
## 2162 West Bengal 2020-06-17 12300
## 2163 Andaman and Nicobar Islands 2020-06-18 45
## 2164 Andhra Pradesh 2020-06-18 5854
## 2165 Arunachal Pradesh 2020-06-18 103
## 2166 Assam 2020-06-18 4861
## 2167 Bihar 2020-06-18 6993
## 2168 Chandigarh 2020-06-18 373
## 2169 Chhattisgarh 2020-06-18 1946
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## 2172 Goa 2020-06-18 705
## 2173 Gujarat 2020-06-18 25658
## 2174 Haryana 2020-06-18 9218
## 2175 Himachal Pradesh 2020-06-18 595
## 2176 Jammu and Kashmir 2020-06-18 5555
## 2177 Jharkhand 2020-06-18 1919
## 2178 Karnataka 2020-06-18 7944
## 2179 Kerala 2020-06-18 2795
## 2180 Ladakh 2020-06-18 687
## 2181 Madhya Pradesh 2020-06-18 11426
## 2182 Maharashtra 2020-06-18 123794
## 2183 Manipur 2020-06-18 606
## 2184 Meghalaya 2020-06-18 43
## 2185 Mizoram 2020-06-18 130
## 2186 Nagaland 2020-06-18 193
## 2187 Odisha 2020-06-18 4512
## 2188 Puducherry 2020-06-18 285
## 2189 Punjab 2020-06-18 3615
## 2190 Rajasthan 2020-06-18 13857
## 2191 Tamil Nadu 2020-06-18 52334
## 2192 Tripura 2020-06-18 1154
## 2193 Uttar Pradesh 2020-06-18 15785
## 2194 Uttarakhand 2020-06-18 2079
## 2195 West Bengal 2020-06-18 12735
## 2196 Andaman and Nicobar Islands 2020-06-19 47
## 2197 Andhra Pradesh 2020-06-19 7961
## 2198 Arunachal Pradesh 2020-06-19 135
## 2199 Assam 2020-06-19 4904
## 2200 Bihar 2020-06-19 7178
## 2201 Chandigarh 2020-06-19 375
## 2202 Chhattisgarh 2020-06-19 2018
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## 2204 Goa 2020-06-19 725
## 2205 Gujarat 2020-06-19 26198
## 2206 Haryana 2020-06-19 9743
## 2207 Himachal Pradesh 2020-06-19 627
## 2208 Jammu and Kashmir 2020-06-19 5680
## 2209 Jharkhand 2020-06-19 1961
## 2210 Karnataka 2020-06-19 8281
## 2211 Kerala 2020-06-19 2913
## 2212 Ladakh 2020-06-19 744
## 2213 Madhya Pradesh 2020-06-19 11582
## 2214 Maharashtra 2020-06-19 120504
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## 2216 Meghalaya 2020-06-19 43
## 2217 Mizoram 2020-06-19 130
## 2218 Nagaland 2020-06-19 198
## 2219 Odisha 2020-06-19 4677
## 2220 Puducherry 2020-06-19 301
## 2221 Punjab 2020-06-19 3832
## 2222 Rajasthan 2020-06-19 14156
## 2223 Sikkim 2020-06-19 70
## 2224 Tamil Nadu 2020-06-19 54449
## 2225 Telangana 2020-06-19 6526
## 2226 Tripura 2020-06-19 1181
## 2227 Uttar Pradesh 2020-06-19 16594
## 2228 Uttarakhand 2020-06-19 2127
## 2229 West Bengal 2020-06-19 13090
## 2230 Andaman and Nicobar Islands 2020-06-20 47
## 2231 Andhra Pradesh 2020-06-20 8452
## 2232 Arunachal Pradesh 2020-06-20 135
## 2233 Assam 2020-06-20 5006
## 2234 Bihar 2020-06-20 7380
## 2235 Chandigarh 2020-06-20 390
## 2236 Chhattisgarh 2020-06-20 2076
## 2237 Dadra and Nagar Haveli and Daman and Diu 2020-06-20 93
## 2238 Delhi 2020-06-20 56746
## 2239 Goa 2020-06-20 754
## 2240 Gujarat 2020-06-20 26737
## 2241 Haryana 2020-06-20 10223
## 2242 Himachal Pradesh 2020-06-20 656
## 2243 Jammu and Kashmir 2020-06-20 5834
## 2244 Jharkhand 2020-06-20 2024
## 2245 Karnataka 2020-06-20 8697
## 2246 Kerala 2020-06-20 3040
## 2247 Ladakh 2020-06-20 836
## 2248 Madhya Pradesh 2020-06-20 11724
## 2249 Maharashtra 2020-06-20 124331
## 2250 Meghalaya 2020-06-20 43
## 2251 Mizoram 2020-06-20 140
## 2252 Nagaland 2020-06-20 201
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## 2254 Puducherry 2020-06-20 353
## 2255 Punjab 2020-06-20 3952
## 2256 Rajasthan 2020-06-20 14537
## 2257 Sikkim 2020-06-20 70
## 2258 Tamil Nadu 2020-06-20 56845
## 2259 Telangana 2020-06-20 7072
## 2260 Tripura 2020-06-20 1189
## 2261 Uttar Pradesh 2020-06-20 17135
## 2262 Uttarakhand 2020-06-20 2278
## 2263 West Bengal 2020-06-20 13531
## 2264 Andaman and Nicobar Islands 2020-06-21 48
## 2265 Andhra Pradesh 2020-06-21 8929
## 2266 Arunachal Pradesh 2020-06-21 139
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## 2268 Bihar 2020-06-21 7602
## 2269 Chandigarh 2020-06-21 404
## 2270 Chhattisgarh 2020-06-21 2273
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## 2273 Goa 2020-06-21 818
## 2274 Gujarat 2020-06-21 27317
## 2275 Haryana 2020-06-21 10635
## 2276 Himachal Pradesh 2020-06-21 673
## 2277 Jammu and Kashmir 2020-06-21 5956
## 2278 Jharkhand 2020-06-21 2089
## 2279 Karnataka 2020-06-21 9150
## 2280 Kerala 2020-06-21 3173
## 2281 Ladakh 2020-06-21 837
## 2282 Madhya Pradesh 2020-06-21 11903
## 2283 Maharashtra 2020-06-21 128205
## 2284 Manipur 2020-06-21 841
## 2285 Mizoram 2020-06-21 141
## 2286 Nagaland 2020-06-21 211
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## 2289 Punjab 2020-06-21 4074
## 2290 Rajasthan 2020-06-21 14930
## 2291 Sikkim 2020-06-21 70
## 2292 Tamil Nadu 2020-06-21 59377
## 2293 Telangana 2020-06-21 7802
## 2294 Tripura 2020-06-21 1224
## 2295 Uttar Pradesh 2020-06-21 17731
## 2296 Uttarakhand 2020-06-21 2324
## 2297 West Bengal 2020-06-21 13945
## 2298 Andaman and Nicobar Islands 2020-06-22 48
## 2299 Andhra Pradesh 2020-06-22 9372
## 2300 Arunachal Pradesh 2020-06-22 148
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## 2303 Chandigarh 2020-06-22 410
## 2304 Chhattisgarh 2020-06-22 2302
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## 2307 Goa 2020-06-22 864
## 2308 Gujarat 2020-06-22 27880
## 2309 Haryana 2020-06-22 11025
## 2310 Himachal Pradesh 2020-06-22 727
## 2311 Jammu and Kashmir 2020-06-22 6088
## 2312 Jharkhand 2020-06-22 2140
## 2313 Karnataka 2020-06-22 9399
## 2314 Kerala 2020-06-22 3311
## 2315 Ladakh 2020-06-22 847
## 2316 Madhya Pradesh 2020-06-22 12078
## 2317 Maharashtra 2020-06-22 132075
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## 2324 Punjab 2020-06-22 4235
## 2325 Rajasthan 2020-06-22 15232
## 2326 Sikkim 2020-06-22 78
## 2327 Tamil Nadu 2020-06-22 62087
## 2328 Telangana 2020-06-22 8674
## 2329 Tripura 2020-06-22 1240
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## 2331 Uttarakhand 2020-06-22 2401
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## 2333 Andaman and Nicobar Islands 2020-06-23 50
## 2334 Andhra Pradesh 2020-06-23 9834
## 2335 Arunachal Pradesh 2020-06-23 158
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## 2338 Chandigarh 2020-06-23 415
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## 2344 Haryana 2020-06-23 11520
## 2345 Himachal Pradesh 2020-06-23 775
## 2346 Jammu and Kashmir 2020-06-23 6236
## 2347 Jharkhand 2020-06-23 2193
## 2348 Karnataka 2020-06-23 9721
## 2349 Kerala 2020-06-23 3452
## 2350 Ladakh 2020-06-23 932
## 2351 Madhya Pradesh 2020-06-23 12261
## 2352 Maharashtra 2020-06-23 142628
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## 2354 Meghalaya 2020-06-23 46
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## 2360 Rajasthan 2020-06-23 15627
## 2361 Sikkim 2020-06-23 79
## 2362 Tamil Nadu 2020-06-23 64603
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## 2366 Uttarakhand 2020-06-23 2505
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## 2368 Andaman and Nicobar Islands 2020-06-24 56
## 2369 Andhra Pradesh 2020-06-24 10331
## 2370 Arunachal Pradesh 2020-06-24 160
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## 2378 Gujarat 2020-06-24 29001
## 2379 Haryana 2020-06-24 12010
## 2380 Himachal Pradesh 2020-06-24 806
## 2381 Jammu and Kashmir 2020-06-24 6422
## 2382 Jharkhand 2020-06-24 2219
## 2383 Karnataka 2020-06-24 10118
## 2384 Kerala 2020-06-24 3604
## 2385 Ladakh 2020-06-24 932
## 2386 Madhya Pradesh 2020-06-24 12448
## 2387 Maharashtra 2020-06-24 146811
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## 2395 Rajasthan 2020-06-24 16009
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## 2397 Tamil Nadu 2020-06-24 67468
## 2398 Telangana 2020-06-24 10444
## 2399 Tripura 2020-06-24 1263
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## 2401 Uttarakhand 2020-06-24 2568
## 2402 West Bengal 2020-06-24 15173
## 2403 Andaman and Nicobar Islands 2020-06-25 59
## 2404 Andhra Pradesh 2020-06-25 10884
## 2405 Arunachal Pradesh 2020-06-25 172
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## 2407 Bihar 2020-06-25 8381
## 2408 Chandigarh 2020-06-25 423
## 2409 Chhattisgarh 2020-06-25 2456
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## 2412 Goa 2020-06-25 995
## 2413 Gujarat 2020-06-25 29578
## 2414 Haryana 2020-06-25 12463
## 2415 Himachal Pradesh 2020-06-25 839
## 2416 Jammu and Kashmir 2020-06-25 6549
## 2417 Jharkhand 2020-06-25 2261
## 2418 Karnataka 2020-06-25 10560
## 2419 Kerala 2020-06-25 3727
## 2420 Ladakh 2020-06-25 941
## 2421 Madhya Pradesh 2020-06-25 12595
## 2422 Maharashtra 2020-06-25 151823
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## 2430 Rajasthan 2020-06-25 16296
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## 2433 Telangana 2020-06-25 11364
## 2434 Tripura 2020-06-25 1295
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## 2436 Uttarakhand 2020-06-25 2642
## 2437 West Bengal 2020-06-25 15648
## 2438 Andaman and Nicobar Islands 2020-06-26 72
## 2439 Andhra Pradesh 2020-06-26 11489
## 2440 Arunachal Pradesh 2020-06-26 174
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## 2442 Bihar 2020-06-26 8611
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## 2448 Gujarat 2020-06-26 30158
## 2449 Haryana 2020-06-26 12884
## 2450 Himachal Pradesh 2020-06-26 864
## 2451 Jammu and Kashmir 2020-06-26 6762
## 2452 Jharkhand 2020-06-26 2294
## 2453 Karnataka 2020-06-26 11005
## 2454 Kerala 2020-06-26 3877
## 2455 Ladakh 2020-06-26 946
## 2456 Madhya Pradesh 2020-06-26 12798
## 2457 Maharashtra 2020-06-26 156457
## 2458 Meghalaya 2020-06-26 48
## 2459 Mizoram 2020-06-26 147
## 2460 Nagaland 2020-06-26 371
## 2461 Odisha 2020-06-26 6180
## 2462 Puducherry 2020-06-26 565
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## 2466 Tamil Nadu 2020-06-26 74622
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## 2468 Tripura 2020-06-26 1330
## 2469 Uttar Pradesh 2020-06-26 20943
## 2470 Uttarakhand 2020-06-26 2725
## 2471 West Bengal 2020-06-26 16190
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## 3013 Puducherry 2020-07-12 1418
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## 3015 Rajasthan 2020-07-12 24392
## 3016 Sikkim 2020-07-12 160
## 3017 Tamil Nadu 2020-07-12 138470
## 3018 Telangana 2020-07-12 34671
## 3019 Tripura 2020-07-12 2067
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## 3021 Uttarakhand 2020-07-12 3537
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## 3023 Andaman and Nicobar Islands 2020-07-13 166
## 3024 Andhra Pradesh 2020-07-13 31103
## 3025 Arunachal Pradesh 2020-07-13 387
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## 3034 Haryana 2020-07-13 21929
## 3035 Himachal Pradesh 2020-07-13 1243
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## 3040 Ladakh 2020-07-13 1093
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## 3042 Maharashtra 2020-07-13 265724
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## 3055 Uttarakhand 2020-07-13 3608
## 3056 West Bengal 2020-07-13 31448
## 3057 Andaman and Nicobar Islands 2020-07-14 171
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## 3059 Arunachal Pradesh 2020-07-14 462
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## 3074 Ladakh 2020-07-14 1128
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## 3091 Andaman and Nicobar Islands 2020-07-15 176
## 3092 Andhra Pradesh 2020-07-15 35451
## 3093 Arunachal Pradesh 2020-07-15 491
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## 3107 Kerala 2020-07-15 9554
## 3108 Madhya Pradesh 2020-07-15 19643
## 3109 Maharashtra 2020-07-15 280751
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## 3123 Uttarakhand 2020-07-15 3785
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## 3125 Andaman and Nicobar Islands 2020-07-16 180
## 3126 Andhra Pradesh 2020-07-16 38044
## 3127 Arunachal Pradesh 2020-07-16 543
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## 3139 Jharkhand 2020-07-16 4783
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## 3142 Ladakh 2020-07-16 1147
## 3143 Madhya Pradesh 2020-07-16 20378
## 3144 Maharashtra 2020-07-16 288696
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## 3159 Andaman and Nicobar Islands 2020-07-17 194
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## 3176 Madhya Pradesh 2020-07-17 21082
## 3177 Maharashtra 2020-07-17 296780
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## 3193 Andaman and Nicobar Islands 2020-07-18 198
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## 3195 Arunachal Pradesh 2020-07-18 650
## 3196 Assam 2020-07-18 21864
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## 3199 Chhattisgarh 2020-07-18 5246
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## 3203 Gujarat 2020-07-18 47476
## 3204 Haryana 2020-07-18 25547
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## 3207 Jharkhand 2020-07-18 5385
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## 3209 Kerala 2020-07-18 11660
## 3210 Ladakh 2020-07-18 1159
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## 3212 Maharashtra 2020-07-18 305541
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## 3220 Rajasthan 2020-07-18 28500
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## 3223 Telangana 2020-07-18 43780
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## 3228 Andaman and Nicobar Islands 2020-07-19 203
## 3229 Andhra Pradesh 2020-07-19 49650
## 3230 Arunachal Pradesh 2020-07-19 740
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## 3245 Ladakh 2020-07-19 1178
## 3246 Madhya Pradesh 2020-07-19 22600
## 3247 Maharashtra 2020-07-19 315387
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## 3263 Andaman and Nicobar Islands 2020-07-20 207
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## 3298 Andaman and Nicobar Islands 2020-07-21 212
## 3299 Andhra Pradesh 2020-07-21 58668
## 3300 Arunachal Pradesh 2020-07-21 858
## 3301 Assam 2020-07-21 25092
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## 3308 Gujarat 2020-07-21 50465
## 3309 Haryana 2020-07-21 27462
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## 3311 Jammu and Kashmir 2020-07-21 15258
## 3312 Jharkhand 2020-07-21 6195
## 3313 Karnataka 2020-07-21 71069
## 3314 Kerala 2020-07-21 13995
## 3315 Ladakh 2020-07-21 1198
## 3316 Madhya Pradesh 2020-07-21 24095
## 3317 Maharashtra 2020-07-21 332831
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## 3333 Andaman and Nicobar Islands 2020-07-22 221
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## 3335 Arunachal Pradesh 2020-07-22 949
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## 3345 Jammu and Kashmir 2020-07-22 15711
## 3346 Jharkhand 2020-07-22 6682
## 3347 Karnataka 2020-07-22 75833
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## 3403 Arunachal Pradesh 2020-07-24 1056
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## 3415 Jharkhand 2020-07-24 7564
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## 3435 Andaman and Nicobar Islands 2020-07-25 290
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## 3437 Arunachal Pradesh 2020-07-25 1126
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## 3440 Chandigarh 2020-07-25 852
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## 3453 Madhya Pradesh 2020-07-25 26926
## 3454 Maharashtra 2020-07-25 371731
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## 3470 Andaman and Nicobar Islands 2020-07-26 324
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## 3472 Arunachal Pradesh 2020-07-26 1158
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## 3485 Karnataka 2020-07-26 96141
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## 3497 Rajasthan 2020-07-26 36430
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## 3501 Uttarakhand 2020-07-26 6104
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## 3503 Andaman and Nicobar Islands 2020-07-27 338
## 3504 Andhra Pradesh 2020-07-27 102349
## 3505 Arunachal Pradesh 2020-07-27 1239
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## 3517 Karnataka 2020-07-27 101465
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## 3520 Madhya Pradesh 2020-07-27 28589
## 3521 Maharashtra 2020-07-27 389872
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## 3529 Rajasthan 2020-07-27 37564
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## 3532 Telangana 2020-07-27 55532
## 3533 Tripura 2020-07-27 4066
## 3534 Uttar Pradesh 2020-07-27 70493
## 3535 Uttarakhand 2020-07-27 6328
## 3536 West Bengal 2020-07-27 60830
## 3537 Andaman and Nicobar Islands 2020-07-28 363
## 3538 Andhra Pradesh 2020-07-28 110297
## 3539 Arunachal Pradesh 2020-07-28 1330
## 3540 Assam 2020-07-28 34947
## 3541 Bihar 2020-07-28 43591
## 3542 Chandigarh 2020-07-28 934
## 3543 Chhattisgarh 2020-07-28 8257
## 3544 Dadra and Nagar Haveli and Daman and Diu 2020-07-28 1020
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## 3546 Goa 2020-07-28 5287
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## 16272 Bihar 2021-08-09 0
## 16273 Chandigarh 2021-08-09 563989
## 16274 Chhattisgarh 2021-08-09 0
## 16275 Delhi 2021-08-09 0
## 16276 Goa 2021-08-09 0
## 16277 Gujarat 2021-08-09 0
## 16278 Haryana 2021-08-09 0
## 16279 Himachal Pradesh 2021-08-09 2733961
## 16280 Jammu and Kashmir 2021-08-09 11926405
## 16281 Jharkhand 2021-08-09 11785087
## 16282 Karnataka 2021-08-09 0
## 16283 Kerala 2021-08-09 0
## 16284 Ladakh 2021-08-09 0
## 16285 Lakshadweep 2021-08-09 0
## 16286 Madhya Pradesh 2021-08-09 0
## 16287 Maharashtra 2021-08-09 0
## 16288 Manipur 2021-08-09 0
## 16289 Meghalaya 2021-08-09 819590
## 16290 Mizoram 2021-08-09 0
## 16291 Nagaland 2021-08-09 0
## 16292 Odisha 2021-08-09 0
## 16293 Puducherry 2021-08-09 1323204
## 16294 Punjab 2021-08-09 0
## 16295 Rajasthan 2021-08-09 0
## 16296 Sikkim 2021-08-09 0
## 16297 Tamil Nadu 2021-08-09 0
## 16298 Telangana 2021-08-09 0
## 16299 Tripura 2021-08-09 1542417
## 16300 Uttar Pradesh 2021-08-09 0
## 16301 Uttarakhand 2021-08-09 6163067
## 16302 West Bengal 2021-08-09 0
## 16303 Andhra Pradesh 2021-08-10 23326551
## 16304 Arunachal Pradesh 2021-08-10 0
## 16305 Assam 2021-08-10 0
## 16306 Bihar 2021-08-10 0
## 16307 Chandigarh 2021-08-10 565758
## 16308 Chhattisgarh 2021-08-10 0
## 16309 Delhi 2021-08-10 0
## 16310 Goa 2021-08-10 0
## 16311 Gujarat 2021-08-10 0
## 16312 Haryana 2021-08-10 0
## 16313 Himachal Pradesh 2021-08-10 2752249
## 16314 Jammu and Kashmir 2021-08-10 11984795
## 16315 Jharkhand 2021-08-10 11836897
## 16316 Karnataka 2021-08-10 0
## 16317 Kerala 2021-08-10 0
## 16318 Lakshadweep 2021-08-10 0
## 16319 Madhya Pradesh 2021-08-10 0
## 16320 Maharashtra 2021-08-10 0
## 16321 Manipur 2021-08-10 0
## 16322 Meghalaya 2021-08-10 825051
## 16323 Mizoram 2021-08-10 0
## 16324 Nagaland 2021-08-10 0
## 16325 Odisha 2021-08-10 0
## 16326 Puducherry 2021-08-10 1326325
## 16327 Punjab 2021-08-10 0
## 16328 Rajasthan 2021-08-10 0
## 16329 Sikkim 2021-08-10 0
## 16330 Tamil Nadu 2021-08-10 0
## 16331 Telangana 2021-08-10 0
## 16332 Tripura 2021-08-10 1550159
## 16333 Uttar Pradesh 2021-08-10 0
## 16334 Uttarakhand 2021-08-10 6184399
## 16335 West Bengal 2021-08-10 0Data Visualization:
Let’s check the top 10 states with most ConfirmedIndianNational.
top_states <- head(covid[order(covid$ConfirmedIndianNational, decreasing = TRUE), ], 50)
ggplot(top_states, aes(x = reorder(State_UT, ConfirmedIndianNational), y = ConfirmedIndianNational)) +
geom_bar(stat = "identity", fill = "blue") +
coord_flip() +
labs(title = "Top 10 States with Most ConfirmedIndianNational",
x = "State",
y = "ConfirmedIndianNational") +
theme_minimal() +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
Let’s check the top states with most ConfirmedForeignNational.
top_CFN <- head(covid[order(covid$ConfirmedForeignNational, decreasing = TRUE), ], 50)
ggplot(top_CFN, aes(x = reorder(State_UT, ConfirmedForeignNational), y = ConfirmedForeignNational)) +
geom_bar(stat = "identity", fill = "blue") +
coord_flip() +
labs(title = "Top States with Most ConfirmedForeignNational",
x = "State",
y = "ConfirmedForeignNational") +
theme_minimal() +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
Let’s visualize top 10 State_UT by Confirmed Cases.
top_states <- head(covid[order(covid$Confirmed, decreasing = TRUE), ], 900)
ggplot(top_states, aes(x = Confirmed, y = reorder(State_UT, Confirmed))) +
geom_bar(stat = "identity", fill = "blue") +
labs(title = "Top 10 State_UT by Confirmed Cases",
x = "Confirmed Cases",
y = "State_UT") +
theme_minimal() +
coord_flip() +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
Let’s visualize the top 10 states with most number of deaths.
top_states_deaths <- head(covid[order(covid$Deaths, decreasing = TRUE), ], 900)
ggplot(top_states_deaths, aes(x = Deaths, y = reorder(State_UT, Deaths))) +
geom_bar(stat = "identity", fill = "blue") +
labs(title = "Top 10 State_UT by Deaths",
x = "Deaths",
y = "State_UT") +
theme_minimal() +
coord_flip() +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
Let’s visualize top 10 states with most cured cases.
top_states_cured <- head(covid[order(covid$Cured, decreasing = TRUE), ], 900)
ggplot(top_states_cured, aes(x = Cured, y = reorder(State_UT, Cured))) +
geom_bar(stat = "identity", fill = "blue") +
labs(title = "Top 10 State_UT by Cured Cases",
x = "cured Cases",
y = "State_UT") +
theme_minimal() +
coord_flip() +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
Let’s see the trend of confirmed, cured and deaths.
ggplot(covid, aes(x = Month)) +
geom_line(aes(y = Confirmed, color = "Confirmed"), linewidth = 1) +
geom_line(aes(y = Cured, color = "Cured"), linewidth = 1) +
geom_line(aes(y = Deaths, color = "Death"), linewidth = 1) +
labs(title = "COVID-19 Trends",
x = "Month",
y = "Counts",
color = "Legend") +
scale_color_manual(values = c("Confirmed" = "blue", "Cured" = "green", "Death" = "red")) +
theme_minimal()
Let’s visualize the top 10 states with most samples collected.
top_states <- head(testing[order(testing$TotalSamples, decreasing = TRUE), ], 1000)
ggplot(top_states, aes(x = reorder(State, TotalSamples), y = TotalSamples)) +
geom_bar(stat = "identity", fill = "blue") +
coord_flip() +
labs(title = "Top 10 States by Total Samples",
x = "State",
y = "Total Samples") +
theme_minimal()
Let’s visualize the top states with most positive cases.
top_states <- head(testing[order(testing$Positive, decreasing = TRUE), ], 420)
ggplot(top_states, aes(x = reorder(State, Positive), y = Positive)) +
geom_bar(stat = "identity", fill = "blue") +
coord_flip() +
labs(title = "Top States by Positive cases",
x = "State",
y = "Positive cases") +
theme_minimal()
Let’s see the top 5 states with most negative cases.
top_states <- head(testing[order(testing$Negative, decreasing = TRUE), ], 500)
ggplot(top_states, aes(x = reorder(State, Negative), y = Negative)) +
geom_bar(stat = "identity", fill = "blue") +
coord_flip() +
labs(title = "Top 5 States by Negative cases",
x = "State",
y = "Negative cases") +
theme_minimal()
Let’s visualize the top 10 states with most doses administered.
top_states <- head(vaccine[order(vaccine$State != 'India', vaccine$total_doses_administered, decreasing = TRUE), ], 450)
ggplot(top_states, aes(x = reorder(State, total_doses_administered), y = total_doses_administered)) +
geom_bar(stat = "identity", fill = "blue") +
coord_flip() +
labs(title = "Top 10 States by total doses administered",
x = "State",
y = "total doses administered") +
theme_minimal()
Let’s visualize the states with most number of first and second doses administered.
top_states <- head(vaccine[order(vaccine$State != 'India', vaccine$first_dose_administered, vaccine$second_dose_administered, decreasing = TRUE), ], 450)
ggplot(top_states, aes(x = State)) +
geom_col(aes(y = first_dose_administered, fill = "First Doses Administered"), position = "dodge") +
geom_col(aes(y = second_dose_administered, fill = "Second Doses Administered"), position = "dodge") +
labs(title = "Vaccine Doses Administered by State",
x = "State",
y = "Doses Administered") +
scale_fill_manual(values = c("First Doses Administered" = "blue", "Second Doses Administered" = "green")) +
theme_minimal() +
theme(legend.position = "top") +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
Let’s visualize the state with most number of males, females and transgender doses administered.
top_states <- head(vaccine[order(vaccine$State != 'India', vaccine$male_doses_administered, vaccine$female_doses_administered, vaccine$transgender_doses_administered, decreasing = TRUE), ], 450)
ggplot(top_states, aes(x = State)) +
geom_point(aes(y = male_doses_administered, color = "Male Doses Administered")) +
geom_point(aes(y = female_doses_administered, color = "Female Doses Administered")) +
geom_point(aes(y = transgender_doses_administered, color = "Transgender Doses Administered")) +
labs(title = "Vaccine Doses Administered by Gender and State",
x = "State",
y = "Doses Administered") +
scale_color_manual(values = c("Male Doses Administered" = "blue", "Female Doses Administered" = "green", "Transgender Doses Administered" = "purple")) +
theme_minimal() +
theme(legend.position = "top") +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
Let’s visualize and see which types of vaccine is uses by most people in different states.
top_states <- head(vaccine[order(vaccine$State != 'India', vaccine$male_doses_administered, vaccine$female_doses_administered, vaccine$transgender_doses_administered, decreasing = TRUE), ], 450)
ggplot(top_states, aes(x = State)) +
geom_point(aes(y = covaxin_doses, color = "covaxin doses")) +
geom_point(aes(y = covishield_doses, color = "covishield Doses")) +
geom_point(aes(y = sputnik_V_doses, color = "sputnik V Doses")) +
labs(title = "Vaccine Doses Administered by types of vaccines and State",
x = "State",
y = "Doses Administered") +
scale_color_manual(values = c("covaxin doses" = "blue", "covishield Doses" = "green", "sputnik V Doses" = "purple")) +
theme_minimal() +
theme(legend.position = "top") +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
Let’s see the top states where people are getting more vaccinated.
top_states <- head(vaccine[order(vaccine$State != 'India', vaccine$total_vaccinated, decreasing = TRUE), ], 300)
ggplot(top_states, aes(x = reorder(State, total_vaccinated), y = total_vaccinated)) +
geom_bar(stat = "identity", fill = "blue") +
coord_flip() +
labs(title = "Top 10 States by total individuals vaccinated",
x = "State",
y = "total individuals vaccinated") +
theme_minimal() +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
Let’s see how much TotalSamples were collected in which month including Positive cases and Negative cases. But, let’s first create another column which is of month_year to see in which month of which year it is higher.
testing$month_year <- paste(month(testing$Date, label = TRUE), year(testing$Date), sep = " ")ggplot(testing, aes(x = month_year)) +
geom_line(aes(y = TotalSamples, color = "TotalSamples"), linewidth = 1) +
labs(title = "COVID-19 Trends",
x = "Month",
y = "Counts",
color = "Legend") +
scale_color_manual(values = c("TotalSamples" = "blue")) +
theme_minimal() +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
ggplot(testing, aes(x = month_year)) +
geom_line(aes(y = Positive, color = "Positive"), size = 1) +
labs(title = "COVID-19 Trends",
x = "Month",
y = "Counts",
color = "Legend") +
scale_color_manual(values = c("Positive" = "blue")) +
theme_minimal() +
theme(axis.text.x = element_text(angle = 90, hjust = 1))## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
ggplot(testing, aes(x = month_year)) +
geom_line(aes(y = Negative, color = "Negative"), size = 1) +
labs(title = "COVID-19 Trends",
x = "Month",
y = "Counts",
color = "Legend") +
scale_color_manual(values = c("Negative" = "blue")) +
theme_minimal() +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
Let’s visualize and see in which month there are most number of first and second doses administered.
ggplot(vaccine, aes(x = Month)) +
geom_line(aes(y = first_dose_administered, color = "first_dose_administered"), size = 1) +
geom_line(aes(y = second_dose_administered, color = "second_dose_administered"), size = 1) +
labs(title = "COVID-19 Trends",
x = "Month",
y = "Counts",
color = "Legend") +
scale_color_manual(values = c("first_dose_administered" = "blue", "second_dose_administered" = "green")) +
theme_minimal() +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
Let’s visualize and see which in which month there are most number of male, female and transgender doses administered.
ggplot(vaccine, aes(x = Month)) +
geom_line(aes(y = male_doses_administered, color = "male_doses_administered"), size = 1) +
geom_line(aes(y = female_doses_administered, color = "female_doses_administered"), size = 1) +
labs(title = "COVID-19 Trends",
x = "Month",
y = "Counts",
color = "Legend") +
scale_color_manual(values = c("male_doses_administered" = "blue", "female_doses_administered" = "green")) +
theme_minimal() +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
ggplot(vaccine, aes(x = Month)) +
geom_line(aes(y = transgender_doses_administered, color = "transgender_doses_administered"), size = 1) +
labs(title = "COVID-19 Trends",
x = "Month",
y = "Counts",
color = "Legend") +
scale_color_manual(values = c("transgender_doses_administered" = "blue")) +
theme_minimal()
Let’s visualize in which month people got vaccinated by different vaccines.
ggplot(vaccine, aes(x = Month)) +
geom_line(aes(y = covaxin_doses, color = "covaxin_doses"), size = 1) +
labs(title = "COVID-19 Trends",
x = "Month",
y = "Counts",
color = "Legend") +
scale_color_manual(values = c("covaxin_doses" = "blue")) +
theme_minimal()
ggplot(vaccine, aes(x = Month)) +
geom_line(aes(y = covishield_doses, color = "covishield_doses"), size = 1) +
labs(title = "COVID-19 Trends",
x = "Month",
y = "Counts",
color = "Legend") +
scale_color_manual(values = c("covishield_doses" = "blue")) +
theme_minimal()
ggplot(vaccine, aes(x = Month)) +
geom_line(aes(y = sputnik_V_doses, color = "sputnik_V_doses"), size = 1) +
labs(title = "COVID-19 Trends",
x = "Month",
y = "Counts",
color = "Legend") +
scale_color_manual(values = c("sputnik_V_doses" = "blue")) +
theme_minimal()
ggplot(vaccine, aes(x = Month)) +
geom_line(aes(y = AEFI, color = "AEFI"), size = 1) +
labs(title = "COVID-19 Trends",
x = "Month",
y = "Counts",
color = "Legend") +
scale_color_manual(values = c("AEFI" = "blue")) +
theme_minimal()
Let’s visualize and see in which month there are most number of male, female and transgender got vaccinated.
ggplot(vaccine, aes(x = Month)) +
geom_line(aes(y = males_vaccinated, color = "males_vaccinated"), size = 1) +
geom_line(aes(y = females_vaccinated, color = "females_vaccinated"), size = 1) +
labs(title = "COVID-19 Trends",
x = "Month",
y = "Counts",
color = "Legend") +
scale_color_manual(values = c("males_vaccinated" = "blue", "females_vaccinated" = "green")) +
theme_minimal() +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
ggplot(vaccine, aes(x = Month)) +
geom_line(aes(y = transgender_vaccinated, color = "transgender_vaccinated"), size = 1) +
labs(title = "COVID-19 Trends",
x = "Month",
y = "Counts",
color = "Legend") +
scale_color_manual(values = c("transgender_vaccinated" = "blue")) +
theme_minimal()
Let’s see in which month the total individuals got vaccinated.
ggplot(vaccine, aes(x = Month)) +
geom_line(aes(y = total_vaccinated, color = "total_vaccinated"), size = 1) +
labs(title = "COVID-19 Trends",
x = "Month",
y = "Counts",
color = "Legend") +
scale_color_manual(values = c("total_vaccinated" = "blue")) +
theme_minimal()
Let’s see how many cases of covid were confirmed, cured and deaths happened in each month of year. But, let’s first create another column which is of month_year to see in which month of which year it is higher.
covid$month_year <- paste(month(covid$Date, label = TRUE), year(covid$Date), sep = " ")ggplot(covid, aes(x = month_year)) +
geom_line(aes(y = Confirmed, color = "Confirmed"), size = 1) +
labs(title = "COVID-19 Trends",
x = "Month",
y = "Counts",
color = "Legend") +
scale_color_manual(values = c("Confirmed" = "blue")) +
theme_minimal() +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
ggplot(covid, aes(x = month_year)) +
geom_line(aes(y = Deaths, color = "Deaths"), size = 1) +
labs(title = "COVID-19 Trends",
x = "Month",
y = "Counts",
color = "Legend") +
scale_color_manual(values = c("Deaths" = "red")) +
theme_minimal() +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
ggplot(covid, aes(x = month_year)) +
geom_line(aes(y = Cured, color = "Cured"), size = 1) +
labs(title = "COVID-19 Trends",
x = "Month",
y = "Counts",
color = "Legend") +
scale_color_manual(values = c("Cured" = "green")) +
theme_minimal() +
theme(axis.text.x = element_text(angle = 90, hjust = 1))